block. Let style sheet do margin. - var srcIndent = ""; - - var postHasImages = false; - - var files = []; - - // Walk through all the child elements of the doc. - for (var i = 0; i < numChildren; i++) { - var child = document.getActiveSection().getChild(i); - var result = processParagraph(i, child, inSrc, globalImageCounter, globalListCounters, image_prefix + image_foldername); - globalImageCounter += (result && result.images) ? result.images.length : 0; - if (result!==null) { - if (result.sourceGlossary==="start" && !inSrc) { - inSrc=true; - text+="\n"; - } else if (result.sourceGlossary==="end" && inSrc) { - inSrc=false; - text+="\n\n"; - } else if (result.sourceFigCap==="start" && !inSrc) { - inSrc=true; - text+="\n"; - } else if (result.sourceFigCap==="end" && inSrc) { - inSrc=false; - text+="\n\n"; - } else if (result.source==="start" && !inSrc) { - inSrc=true; - text+="\n"; - } else if (result.source==="end" && inSrc) { - inSrc=false; - text+="\n\n"; - } else if (result.inClass==="start" && !inClass) { - inClass=true; - text+="\n"; - } else if (result.inClass==="end" && inClass) { - inClass=false; - text+="\n\n"; - } else if (inClass) { - text+=result.text+"\n\n"; - } else if (inSrc) { - text+=(srcIndent+escapeHTML(result.text)+"\n"); - } else if (result.text && result.text.length>0) { - text+=result.text+"\n\n"; - } - - if (result.images && result.images.length>0) { - for (var j=0; j/g, '>'); -} - -function standardQMarks(text) { - return text.replace(/\u2018|\u8216|\u2019|\u8217/g,"'").replace(/\u201c|\u8220|\u201d|\u8221/g, '"') -} - -// Process each child element (not just paragraphs). -function processParagraph(index, element, inSrc, imageCounter, listCounters, image_path) { - // First, check for things that require no processing. - if (element.getType() === DocumentApp.ElementType.UNSUPPORTED) { - return null; - } - if (element.getNumChildren()==0) { - return null; - } - // Skip on TOC. - if (element.getType() === DocumentApp.ElementType.TABLE_OF_CONTENTS) { - return {"text": "[[TOC]]"}; - } - - // Set up for real results. - var result = {}; - var pOut = ""; - var textElements = []; - var imagePrefix = "image_"; - - // Handle Table elements. Pretty simple-minded now, but works for simple tables. - // Note that Markdown does not process within block-level HTML, so it probably - // doesn't make sense to add markup within tables. - if (element.getType() === DocumentApp.ElementType.TABLE) { - textElements.push("
" + element.getChild(i).getChild(j).getText() + " | \n"); - } - textElements.push("
{{ debug_info }}-
{{ answerable_logs }}-
{{ logs }}-
{{ question | replace("+", " ") | replace("%3F", "?")}}
-To verify this information, please check out my sources:
-{{section_url | safe}} from the {{page_url | safe}} page.
-Distance: {{source.distance}}
- {% elif source.probability %} -Probability: {{source.probability}}
- {% endif %} -{{ final_context | safe }}-
{{ aqa_response_in_html | safe }}-
{{md_to_html(source.section.content) | safe}}Reference [{{loop.index}}]- {% endfor %} -
{{ final_context | safe }}-
{{ aqa_response_in_html | safe }}-
{{md_to_html(source.section.content) | safe}}Reference [{{loop.index}}]- {% endfor %} -
{{ final_context | safe }}-
{{ aqa_response_in_html | safe }}-
{{md_to_html(source.section.content) | safe}}Reference [{{loop.index}}]- {% endfor %} -
{{ final_context | safe }}-
{{ aqa_response_in_html | safe }}-
{{md_to_html(source.section.content) | safe}}Reference [{{loop.index}}]- {% endfor %} -
\n"
- for line in lines:
- content_to_store += line + "\n"
- content_to_store += "
\n"
- return content_to_store
-
-
-# Divide a large protocol into two text chunks.
-def divide_a_protocol(lines):
- half_point = len(lines) // 2
- first_half = lines[:half_point]
- second_half = lines[half_point:]
- return first_half, second_half
-
-
-# Recursively process a FIDL protocol into text chunks.
-def construct_chunks(library_name: str, protocol_name: str, lines):
- contents = []
- buffer_size = get_byte_size(lines)
- if int(buffer_size) > 5000:
- # If the protocol is larget than 5KB, divide it into two.
- logging.info(
- "Found a text chunk ("
- + str(protocol_name)
- + ") is greater than 6KB (size: "
- + str(buffer_size)
- + ")."
- )
- (first_half, second_half) = divide_a_protocol(lines)
- first_content = construct_chunks(library_name, protocol_name, first_half)
- second_content = construct_chunks(library_name, protocol_name, second_half)
- contents += first_content
- contents += second_content
- else:
- # Prepare a text chunk that describes a FIDL protocol.
- content = construct_a_chunk(library_name, protocol_name, lines)
- logging.info(
- "Created a text chunk for "
- + str(protocol_name)
- + " (size: "
- + str(buffer_size)
- + ")."
- )
- contents.append(content)
- return contents
-
-
-# Split a FIDL file into protocols as text chunks.
-def split_file_to_protocols(this_file):
- protocols = []
- line_buffer = []
- protocol_name = ""
- library_name = ""
- index = 0
- for line in this_file.split("\n"):
- match_protocol = re.search(r"^closed\s+protocol\s+(.*)\s+\{", line)
- match_library = re.search(r"^library\s+(.*);", line)
- match_comment = re.search(r"^\s*\/\/\/\s+(.*)", line)
- match_new_line = re.search(r"^\s*$", line)
- match_end_bracket = re.search(r"^};", line)
- if match_protocol:
- # print("MATCHED [Protocol]: " + match_protocol.group(1))
- protocol_name = match_protocol.group(1)
- line_buffer.append(line)
- elif match_library:
- # print("MATCHED [Library]: " + match_library.group(1))
- library_name = match_library.group(1)
- elif match_comment:
- # print("MATCHED [Comment]: " + match_comment.group(1))
- line_buffer.append(line)
- elif match_new_line:
- # print("MATCHED [New line]")
- line_buffer.append(line)
- elif match_end_bracket:
- # print("MATCHED [End bracket]")
- line_buffer.append(line)
- if library_name != "" and protocol_name != "":
- # Prepre a captured FIDL protocl into small text chunks.
- contents = construct_chunks(library_name, protocol_name, line_buffer)
- for content in contents:
- protocols.append(content)
- # Clear the line butter and protocol name when an end bracket is found.
- line_buffer.clear()
- protocol_name = ""
- else:
- line_buffer.append(line)
- index += 0
- return protocols
diff --git a/examples/gemini/python/docs-agent/docs_agent/preprocess/splitters/html_splitter.py b/examples/gemini/python/docs-agent/docs_agent/preprocess/splitters/html_splitter.py
deleted file mode 100644
index 952564cac..000000000
--- a/examples/gemini/python/docs-agent/docs_agent/preprocess/splitters/html_splitter.py
+++ /dev/null
@@ -1,43 +0,0 @@
-#
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-import re, os
-from docs_agent.preprocess.splitters import markdown_splitter
-
-
-# This function replaces HTML's includes sections with content.
-def process_html_includes(html_text, root):
- updated_html = ""
- for line in html_text.split("\n"):
- # Replaces HTML includes (Jinja) with content (html include can happen
- # with indents)
- try:
- include_match = re.search('{% include "(.*?)" %}', line)
- include_file = os.path.abspath(root + "/" + include_match[1])
- # Tries to open include and errors if it doesn't exist
- try:
- html_include = markdown_splitter.verify_file(include_file)
- if html_include is str:
- updated_html += html_include + "\n"
- else:
- updated_html += "\n"
- except FileNotFoundError:
- # If the file doesn't exist, remove the include statement to
- # avoid polluting content
- updated_html += "\n"
- except:
- updated_html += line + "\n"
- return updated_html
diff --git a/examples/gemini/python/docs-agent/docs_agent/preprocess/splitters/markdown_splitter.py b/examples/gemini/python/docs-agent/docs_agent/preprocess/splitters/markdown_splitter.py
deleted file mode 100644
index 43eba1ce7..000000000
--- a/examples/gemini/python/docs-agent/docs_agent/preprocess/splitters/markdown_splitter.py
+++ /dev/null
@@ -1,674 +0,0 @@
-#
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-import typing
-import markdown
-import bs4
-import re, os
-from absl import logging
-from docs_agent.models import tokenCount
-import frontmatter
-from docs_agent.utilities.helpers import add_scheme_url
-
-
-class Section:
- def __init__(
- self,
- id: int,
- name_id: str,
- page_title: str,
- section_title: str,
- level: int,
- previous_id: int,
- parent_tree: list[int],
- token_count: float,
- content: str,
- url: typing.Optional[str] = None,
- origin_uuid: typing.Optional[str] = None,
- md_hash: typing.Optional[str] = None,
- uuid: typing.Optional[str] = None,
- ):
- self.id = id
- self.name_id = name_id
- self.page_title = page_title
- self.section_title = section_title
- self.level = level
- self.previous_id = previous_id
- self.parent_tree = parent_tree
- self.token_count = token_count
- self.content = content
- self.url = url
- self.origin_uuid = origin_uuid
- self.md_hash = md_hash
- self.uuid = uuid
-
- def __str__(self):
- return f"UUID: {self.uuid}\n\
-ID: {self.id}\n\
-Name ID: {self.name_id}\n\
-Origin UUID: {self.origin_uuid}\n\
-Page title: {self.page_title}\n\
-Section title: {self.section_title}\n\
-URL: {self.url}\n\
-Level: {self.level}\n\
-Parent ID: {self.previous_id}\n\
-Parent tree: {self.parent_tree}\n\
-Tokens: {self.token_count}\n\
-Content hash: {self.md_hash}\n"
-
- # Updates the content of a section using page and section title
- def updateContentTemplate(self):
- new_content = f"The section titled {self.section_title} is from the page titled {self.page_title} and has this content:\n{self.content}"
- self.content = new_content
- return self
-
- # Given a section, return the id of the parent. If no, parent returns 0
- # 0 is equivalent to the top of the page
- def returnDirectParentId(self):
- parent_tree = eval(self.parent_tree)
- # Prepare direct_parent variable
- if len(parent_tree) > 1:
- direct_parent = parent_tree[len(parent_tree) - 1]
- # If the curr_parent_tree has a len of 0, this means that no parents
- if len(parent_tree) == 0:
- no_parent = True
- direct_parent = 0
- else:
- no_parent = False
- direct_parent = parent_tree[len(parent_tree) - 1]
- return direct_parent
-
- def encodeToChromaDBNoContent(self):
- metadata = {}
- metadata.update({"section_id": int(self.id)})
- metadata.update({"section_name_id": str(self.name_id)})
- metadata.update({"section_title": str(self.section_title)})
- metadata.update({"page_title": str(self.page_title)})
- metadata.update({"section_level": int(self.level)})
- metadata.update({"previous_id": int(self.previous_id)})
- # Lists like parent_tree need to be converted to str
- metadata.update({"parent_tree": str(self.parent_tree)})
- metadata.update({"token_estimate": float(self.token_count)})
- metadata.update({"origin_uuid": str(self.origin_uuid)})
- metadata.update({"md_hash": str(self.md_hash)})
- metadata.update({"url": str(self.url)})
- return metadata
-
- def createChunkTitle(self):
- if self.page_title == self.section_title:
- doc_title = self.page_title
- else:
- doc_title = f"{self.page_title} - {self.section_title}"
- return doc_title
-
- def return_id(self):
- return self.id
-
-
-def DictionarytoSection(metadata: dict) -> Section:
- if "section_id" in metadata:
- section_id = int(metadata["section_id"])
- else:
- section_id = ""
- if "section_name_id" in metadata:
- section_name_id = str(metadata["section_name_id"])
- else:
- section_name_id = ""
- if "section_title" in metadata:
- section_title = str(metadata["section_title"])
- else:
- section_title = ""
- if "page_title" in metadata:
- page_title = str(metadata["page_title"])
- else:
- page_title = ""
- if "section_level" in metadata:
- section_level = int(metadata["section_level"])
- else:
- section_level = ""
- if "previous_id" in metadata:
- previous_id = int(metadata["previous_id"])
- else:
- previous_id = ""
- if "parent_tree" in metadata:
- parent_tree = metadata["parent_tree"]
- else:
- parent_tree = []
- if "token_estimate" in metadata:
- token_estimate = int(metadata["token_estimate"])
- else:
- token_estimate = ""
- if "content" in metadata:
- content = str(metadata["content"])
- else:
- content = ""
- if "URL" in metadata:
- url = str(metadata["URL"])
- elif "url" in metadata:
- url = str(metadata["url"])
- else:
- url = ""
- if "origin_uuid" in metadata:
- origin_uuid = str(metadata["origin_uuid"])
- else:
- origin_uuid = ""
- if "md_hash" in metadata:
- md_hash = str(metadata["md_hash"])
- else:
- md_hash = ""
- if "UUID" in metadata:
- UUID = str(metadata["UUID"])
- else:
- UUID = ""
- section = Section(
- id=section_id,
- name_id=section_name_id,
- page_title=page_title,
- section_title=section_title,
- level=section_level,
- previous_id=previous_id,
- parent_tree=parent_tree,
- token_count=token_estimate,
- content=content,
- url=url,
- origin_uuid=origin_uuid,
- md_hash=md_hash,
- uuid=UUID,
- )
- return section
-
-
-class Page:
- def __init__(
- self,
- title: str,
- URL: str,
- section_count: int,
- metadata: typing.Optional[dict] = None,
- ):
- self.title = title
- self.URL = URL
- self.section_count = section_count
- self.metadata = metadata
-
- def __str__(self):
- return f"This is a page with the following properties:\n\
-Title: {self.title}\n\
-URL: {self.URL}\n\
-Section Count: {self.section_count}\n\
-Metadata: {self.metadata}\n"
-
-
-# This function converts a Markdown string to plain text.
-def markdown_to_text(markdown_string):
- # Remove lines in Markdown
- markdown_string = re.sub(r"<\!--(.*?)-->", "", markdown_string)
- # md -> html -> text since BeautifulSoup can extract text cleanly
- html = markdown.markdown(markdown_string)
- # Extract text
- soup = bs4.BeautifulSoup(html, "html.parser")
- text = "".join(soup.findAll(string=True))
- # Remove [][] in Markdown
- text = re.sub(r"\[(.*?)\]\[(.*?)\]", "\\1", text)
- # Remove {: } in Markdown
- text = re.sub(r"\{:(.*?)\}", "", text)
- # Remove {. } in Markdown
- text = re.sub(r"\{.(.*?)\}", "", text)
- # Remove a single line `sh` in Markdown
- text = re.sub(r"(?m)^sh$", "", text)
- # Remove a single line ````sh` in Markdown
- # text = re.sub(r'(?m)^```sh$', '', text)
- # Remove code snippet tags
- # text = re.sub(r"(.*?)", "\\1", text) - # text = re.sub(r"
(.*?)
", "\\1", text)
- # Remove variable tags
- text = re.sub(r"(?m)(.*?)", "\\1", text)
- text = re.sub(
- r"(^|)(Important|Note|Caution|Tip|Warning|Important|Key Point|Key Term):\s?",
- "",
- text,
- )
- text = re.sub(
- r"(^|)(Objective|Success|Beta|Preview|Deprecated):\s?",
- "",
- text,
- )
- text = re.sub(r"(Project|Book):(.*)\n", "", text)
- text = text.strip() + "\n"
- return text
-
-
-# This function makes a plain text chunk. It can transform markdown headers
-# into plain text for files that can fit in a single chunk or multiple chunks
-# Takes an input of a markdown_text and header_id_spaces on how to treat spaces
-# from Header names to header ids. For example if header_id_spaces="-",
-# ## My section header will get a header id of my-section-header
-# This will try to give more granural context on urls by appending #my-section-header
-# to URL links
-def make_markdown_chunk(markdown_text, header_id_spaces):
- section_markdown = ""
- remaining_markdown = ""
- section_title = ""
- section_id = ""
- section_level = ""
- first_header = True
- section_done = False
- # Regular expression to read a header level, title, and an optional anchor id
- regex_headers = r"^(\#*)\s+(.[^\{]*)(.*?)$"
- # Regular expression to read an anchor id, format can be {#header-id} or
- # {:#header-id}
- regex_anchors = r"(?:\{\#|\{:\#)(.*)\}"
- # Regular expression to read a special RFC title case (with jinja variables)
- regex_rfc_title = r"^\{\{\s+(.*)\.(.*)\s+\}\}$"
- # Regular expression to find parantheses as those are not valid in headers
- regex_section_name = r"(.[^\(]*)"
- regex_headers_compiled = re.compile(regex_headers)
- regex_anchors_compiled = re.compile(regex_anchors)
- regex_section_name_compiled = re.compile(regex_section_name)
- regex_rfc_compiled = re.compile(regex_rfc_title)
- for line in markdown_text.split("\n"):
- if line.startswith("#") and first_header == True:
- # Looks for a header in the format of ## Header name {#header-id} or
- # Just a ## Header name
- # Level 1 doesn't require header ids as these are page anchors
- first_header = False
- match = regex_headers_compiled.search(line)
- if match:
- if match[1]:
- section_level = len(match[1])
- if match[2]:
- section_title = match[2]
- section_id = re.sub(
- " ", header_id_spaces, section_title.lower().strip()
- )
- section_id = clean_section_id(section_id)
- if regex_section_name_compiled.search(section_id):
- section_id = regex_section_name_compiled.search(section_id)[1]
- if match[3]:
- match_id = regex_anchors_compiled.search(match[3])
- if match_id:
- section_id = clean_section_id(match_id[1])
- # Checks for the special RFC case to assign a title of RFC
- # These headers don't have ids as there is no full header title
- match_rfc = regex_rfc_compiled.search(match[2] + match[3])
- if match_rfc:
- section_title = "RFC (request for comment)"
- # Removing this line as this can be added (if needed) once retrieved from the db
- # section_markdown += section_intro.format(section_title=section_title)
- elif len(section_markdown) > 100:
- # Temp solution: Do not create a chunk if the size is less than 100 chars.
- if line.startswith("#") and first_header == False:
- section_done = True
- remaining_markdown += line + "\n"
- elif not (line.startswith("#")) and section_done:
- remaining_markdown += line + "\n"
- else:
- section_markdown += line + "\n"
- else:
- section_markdown += line + "\n"
- section_level = level_to_int(section_level)
- return (
- section_id,
- section_level,
- section_title,
- section_markdown,
- remaining_markdown,
- )
-
-
-# Returns an int of a level to avoid blank string
-def level_to_int(level) -> int:
- if level == "":
- level = 0
- else:
- level = int(level)
- return level
-
-
-# In a regular child level the length of the parent_tree should be greater
-# than the current level, so for example a header 2 (level 2) may have a
-# parent_tree of [0, 1], in this case we want to append the previous previous_id
-# Conditions to be aware of:
-# If headers are out of order, you may end up with an array level with
-# the same value, such as a header 4 that ends with a parent_tree of
-# [0, 1, 25, 25] indicates that you jumped from a header 2, right into a 4
-def build_parent_tree(
- parent_tree: list[int], level: int, previous_id: int
-) -> list[int]:
- if len(parent_tree) != level:
- first = True
- while len(parent_tree) != level:
- if len(parent_tree) >= level:
- parent_tree.pop()
- elif len(parent_tree) <= level:
- parent_tree.append(previous_id)
- return parent_tree
-
-
-# This function cleans section ids from special characters
-def clean_section_id(section_id: str) -> str:
- section_id = re.sub("'", "", section_id)
- section_id = re.sub("`", "", section_id)
- section_id = re.sub("\.", "", section_id)
- section_id = re.sub("\,", "", section_id)
- section_id = re.sub("#", "", section_id)
- section_id = re.sub("\?", "", section_id)
- section_id = re.sub("\/", "", section_id)
- section_id = re.sub("\{", "", section_id)
- section_id = re.sub("\}", "", section_id)
- section_id = re.sub(":", "", section_id)
- return section_id
-
-
-# This function replaces Markdown's includes sections with content.
-def process_markdown_includes(markdown_text, root):
- updated_markdown = ""
- for line in markdown_text.split("\n"):
- # Replaces Markdown includes with content
- if line.startswith("<<"):
- try:
- include_match = re.search("^<<(.*?)>>", line)
- include_file = os.path.abspath(root + "/" + include_match[1])
- with open(include_file, "r", encoding="utf-8") as md_include:
- for md_line in md_include:
- updated_markdown += md_line + "\n"
- except:
- updated_markdown += line + "\n"
- else:
- updated_markdown += line + "\n"
- return updated_markdown
-
-
-# Function to verify that include exists and exports its content if it exists
-def verify_file(file):
- try:
- with open(file, "r", encoding="utf-8") as mdfile:
- output = mdfile.read()
- mdfile.close()
- return output
- except FileNotFoundError:
- logging.error(f"[FileNotFound] Missing the include file: {file}")
-
-
-# Takes in current section, then returns an array of
-# sections that it split by lines
-def split_sections_by_lines(section: Section):
- buffer = []
- for line in section.content.split("\n"):
- # Special case if line is too long - tends to be comma seperated lists
- if get_byte_size(line) > 5000:
- for item in line.split(","):
- item = item + ","
- buffer.append(item)
- else:
- buffer.append(line)
- chunks = construct_chunks(buffer)
- page_sections = []
- chunk_count = 0
- for chunk in chunks:
- # Calculate tokens for new chunk
- token_count = tokenCount.returnHighestTokens(chunk)
- # Section id needs to get bumped up
- new_section = Section(
- (section.id + chunk_count),
- section.name_id,
- section.page_title,
- section.section_title,
- section.level,
- section.previous_id,
- section.parent_tree.copy(),
- token_count,
- markdown_to_text(chunk),
- )
- chunk_count += 1
- page_sections.append(new_section)
- return page_sections
- # return page_sections, remaining_content
-
-
-# This function converts Markdown page (#), section (##), and subsection (###)
-# headings into plain English.
-def process_markdown_page(markdown_text, header_id_spaces: str = "_"):
- page_metadata = {}
- remaining_content = markdown_text
- page_title = ""
- page_sections = []
- page_url = ""
- # Processes the frontmatter in a markdown file
- data = frontmatter.loads(markdown_text)
- if "title" in data:
- page_title = data["title"]
- remaining_content = data.content
- page_metadata = data.metadata
- if "URL" in data:
- page_url = add_scheme_url(url=data["URL"], scheme="https")
- section_id = 0
- previous_id = 1
- parent_level = 0
- # For each header level the header ID is added, position 0 is header, pos 1 ##, pos 3 ###, etc...
- parent_tree = [0]
- while remaining_content != "":
- name_id, level, title, content, remaining_content = make_markdown_chunk(
- markdown_text=remaining_content, header_id_spaces=header_id_spaces
- )
- # Ensure parent_level is an int
- parent_level = int(parent_level)
- # Indicates the first encountered header since parent_level and parent_tree have base values
- if parent_level == 0 and parent_tree == [0] and "title" not in data:
- page_title = title
- # Builds the parent tree based on current section level and the previous_id
- parent_tree = build_parent_tree(parent_tree, level, previous_id)
- plain_text_content = markdown_to_text(content)
- token_count = tokenCount.returnHighestTokens(plain_text_content)
- # This goes up as sections start at 1
- section_id += 1
- # Initializes a Section, content may be replaced if too large
- # Copy ensures parent_tree doesn't get overwritten
- section = Section(
- section_id,
- name_id,
- page_title,
- title,
- level,
- previous_id,
- parent_tree.copy(),
- token_count,
- plain_text_content,
- )
- # If content is larger than 5KB - split by lines
- if len(plain_text_content.encode("utf-8")) > 5000:
- # Return an array of sections that were split and the remain content
- logging.info("Chunk is too big - splitting by lines")
- new_sections = split_sections_by_lines(section=section)
- # Merge the list of sections and bump up the section_id.
- # Length has to be reduced by 1 since original chunk was already
- # counted
- section_id = section_id + (len(new_sections)-1)
- page_sections += new_sections
- # Create a Section object for sections under 6k of the doc.
- else:
- # If less than 5kb - append to a list of section objects
- page_sections.append(section)
- # Prepare previous_id for next section
- previous_id = int(section_id)
- parent_level = int(level)
- sect_count = len(page_sections)
- page = Page(page_title, page_url, sect_count, page_metadata)
- # Return an array of Section objects with a single Page object
- return page_sections, page
-
-
-# This function converts Markdown page (#), section (##), and subsection (###)
-# headings into plain English.
-def process_page_and_section_titles(markdown_text):
- updated_markdown = ""
- page_title = ""
- section_title = ""
- subsection_title = ""
- new_line = ""
- metadata = {}
- # Processes the frontmatter in a markdown file
- data = frontmatter.loads(markdown_text)
- if "title" in data:
- page_title = data["title"]
- markdown_text = data.content
- metadata = data.metadata
- if "URL" in data:
- metadata["URL"] = add_scheme_url(url=data["URL"], scheme="https")
- for line in markdown_text.split("\n"):
- new_line = ""
- skip_this_line = False
- if line.startswith("#"):
- match = re.search(r"^(\#*)\s+(.*)$", line)
- heading = ""
- captured_title = ""
- if match:
- heading = match[1]
- # Remove {: } in devsite Markdown
- captured_title = re.sub(r"\{:(.*?)\}", "", match[2])
- # Special case of RFC pages.
- if re.search(r"^\{\{\s+(.*)\.(.*)\s+\}\}$", captured_title):
- heading = ""
- page_title = "RFC"
- skip_this_line = True
-
- # Detect Markdown heading levels
- if heading == "#":
- page_title = captured_title.strip()
- metadata["title"] = page_title
- subsection_title = ""
- section_title = ""
- elif heading == "##":
- section_title = captured_title.strip()
- subsection_title = ""
- elif heading == "###":
- subsection_title = captured_title.strip()
-
- # Convert Markdown headings into plain English
- # (but keep `#` for the `process_document_into_sections()`
- # function to detect these headings for splitting).
- if page_title:
- new_line = (
- '# The "'
- + page_title
- + '" page includes the following information:\n\n'
- )
-
- if section_title:
- new_line = (
- '# The "'
- + page_title
- + '" page has the "'
- + section_title
- + '" section that includes the following information:\n'
- )
-
- if subsection_title:
- new_line = (
- '# On the "'
- + page_title
- + '" page, the "'
- + section_title
- + '" section has the "'
- + subsection_title
- + '" subsection that includes the following information:\n'
- )
-
- if skip_this_line is False:
- if new_line:
- updated_markdown += new_line + "\n"
- else:
- updated_markdown += line + "\n"
- return updated_markdown, metadata
-
-
-# This function divides Markdown content into sections and
-# returns an array containing these sections.
-# But this function requires pre-processed Markdown headings from
-# the `process_page_and_section_titles()` function, which simplifies
-# three levels of Markdown headings (#, ##, and ###) into just a single #.
-def process_document_into_sections(markdown_text):
- sections = []
- buffer = []
- first_section = True
- for line in markdown_text.split("\n"):
- if line.startswith("#"):
- match = re.search(r"^(\#*)\s+(.*)$", line)
- heading = ""
- if match:
- heading = match[1]
- if heading == "#":
- if first_section is True:
- # Ignore the first detection of `#`.
- first_section = False
- else:
- # When a new `#` is detected, store the text in `buffer` into
- # an array entry and clear the buffer for the next section.
- contents = construct_chunks(buffer)
- for content in contents:
- sections.append(content)
- buffer.clear()
- buffer.append(line)
- # Add the last section on the page.
- contents = construct_chunks(buffer)
- for content in contents:
- sections.append(content)
- return sections
-
-
-# Process an array of Markdwon text into an array of string buffers
-# whose size is smaller than 5KB.
-def construct_chunks(lines):
- contents = []
- buffer_size = get_byte_size(lines)
- if int(buffer_size) > 5000:
- # If the protocol is larger than 5KB, divide it into two.
- logging.info(
- "Found a text chunk greater than 5KB (size: " + str(buffer_size) + ")."
- )
- (first_half, second_half) = divide_an_array(lines)
- first_content = construct_chunks(first_half)
- second_content = construct_chunks(second_half)
- contents += first_content
- contents += second_content
- else:
- chunk = convert_array_to_buffer(lines)
- contents.append(chunk)
- return contents
-
-
-# Convert an array into a string buffer.
-def convert_array_to_buffer(lines):
- content = ""
- for line in lines:
- content += line + "\n"
- return content
-
-
-# Get the byte size of lines.
-def get_byte_size(lines):
- buffer_size = 0
- for line in lines:
- buffer_size += len(line.encode("utf-8"))
- return buffer_size
-
-
-# Divide a large array into two arrays.
-def divide_an_array(lines):
- half_point = len(lines) // 2
- first_half = lines[:half_point]
- second_half = lines[half_point:]
- return first_half, second_half
diff --git a/examples/gemini/python/docs-agent/docs_agent/storage/__init__.py b/examples/gemini/python/docs-agent/docs_agent/storage/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/examples/gemini/python/docs-agent/docs_agent/storage/chroma.py b/examples/gemini/python/docs-agent/docs_agent/storage/chroma.py
deleted file mode 100644
index de15005bf..000000000
--- a/examples/gemini/python/docs-agent/docs_agent/storage/chroma.py
+++ /dev/null
@@ -1,573 +0,0 @@
-#
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-"""Chroma wrapper"""
-
-from enum import auto, Enum
-import os
-import string
-import shutil
-import typing
-
-from absl import logging
-import chromadb
-from chromadb.utils import embedding_functions
-from chromadb.api.models import Collection
-from chromadb.api.types import QueryResult
-
-from docs_agent.models.palm import PaLM
-from docs_agent.preprocess.splitters.markdown_splitter import Section as Section
-from docs_agent.postprocess.docs_retriever import FullPage as FullPage
-from docs_agent.utilities.helpers import resolve_path, parallel_backup_dir
-
-
-class Error(Exception):
- """Base error class for chroma"""
-
-
-class ChromaEmbeddingModelNotSupportedError(Error, RuntimeError):
- """Raised if the embedding model specified by a collection is not supported."""
-
-
-class Chroma:
- """Chroma wrapper"""
-
- def __init__(self, chroma_dir) -> None:
- self.client = chromadb.PersistentClient(path=chroma_dir)
-
- def list_collections(self):
- return self.client.list_collections()
-
- def get_collection(self, name, embedding_function=None, embedding_model=None):
- if embedding_function is not None:
- return ChromaCollection(
- self.client.get_collection(
- name=name, embedding_function=embedding_function
- ),
- embedding_function,
- )
- # Read embedding meta information from the collection
- collection = self.client.get_collection(name=name)
- if embedding_model is None and collection.metadata:
- embedding_model = collection.metadata.get("embedding_model", None)
- if embedding_model is None:
- # If embedding_model is not found in the metadata,
- # use `models/embedding-gecko-001` by default.
- logging.info(
- "Embedding model is not specified in the metadata of "
- "the collection %s. Using the default PaLM embedding model.",
- name,
- )
- embedding_model = "models/embedding-gecko-001"
- if embedding_model == "local/all-mpnet-base-v2":
- base_dir = os.path.dirname(os.path.abspath(__file__))
- local_model_dir = os.path.join(base_dir, "models/all-mpnet-base-v2")
- embedding_function = (
- embedding_functions.SentenceTransformerEmbeddingFunction(
- model_name=local_model_dir
- )
- )
- else:
- print("Embedding model: " + str(embedding_model))
- try:
- palm = PaLM(embed_model=embedding_model, find_models=False)
- # We cannot redefine embedding_function with def and
- # have to assign a lambda to it
- # pylint: disable-next=unnecessary-lambda-assignment
- embedding_function = lambda texts: [palm.embed(text) for text in texts]
- except:
- raise ChromaEmbeddingModelNotSupportedError(
- f"Embedding model {embedding_model} specified by collection {name} "
- "is not supported."
- )
-
- return ChromaCollection(
- self.client.get_collection(
- name=name, embedding_function=embedding_function
- ),
- embedding_function,
- )
-
-
-class Format(Enum):
- CONTEXT = auto()
- URL = auto()
- CLICKABLE_URL = auto()
-
-
-class ChromaQueryResultItem:
- """Chroma query result item wrapper
-
- Chroma query result has the following type:
- ```
- class QueryResult(TypedDict):
- ids: List[IDs]
- embeddings: Optional[List[List[Embedding]]]
- documents: Optional[List[List[Document]]]
- metadatas: Optional[List[List[Metadata]]]
- distances: Optional[List[List[float]]]
- ```
- Since the Chroma's query support multiple texts as input, the outer list
- corresponds to each of the input text. The inner list corresponds to
- the nearest k documents for a specific input text. Since we always only
- provide one input text to the query call, our access pattern to the
- query result will look like `query_result["documents"][0][i]`, where index
- 0 stands for the result for the first (and the only) input text, and index
- i stands for the i-th nearest document.
- """
-
- templates_with_ref_index = {
- Format.CONTEXT: "$document **[${ref_index}]**",
- Format.URL: "**[${ref_index}]** $url ($distance)",
- Format.CLICKABLE_URL: '**[${ref_index}]** $url ($distance)',
- }
-
- templates_without_ref_index = {
- Format.CONTEXT: "$document",
- Format.URL: "$url",
- Format.CLICKABLE_URL: '$url',
- }
-
- def __init__(self, result: QueryResult, index: int) -> None:
- self.document = result["documents"][0][index]
- self.metadata = result["metadatas"][0][index]
- self.distance = result["distances"][0][index]
-
- def format(self, format_type: Format, ref_index: typing.Optional[int] = None):
- d = {
- "document": self.document.strip(),
- "ref_index": ref_index,
- "url": self.metadata.get("url", None),
- "distance": self.distance,
- }
- if ref_index is None:
- template = self.templates_without_ref_index[format_type]
- else:
- template = self.templates_with_ref_index[format_type]
-
- return string.Template(template).substitute(d)
-
-
-class ChromaQueryResult:
- """Chroma query result wrapper"""
-
- def __init__(self, result: QueryResult) -> None:
- self.result = result
-
- def __len__(self):
- return len(self.result["documents"][0])
-
- def fetch(self, distance_threshold=float("inf")):
- for i in range(len(self)):
- item = ChromaQueryResultItem(self.result, i)
- if item.distance < distance_threshold:
- yield item
-
- def fetch_formatted(self, format_type: Format, distance_threshold=float("inf")):
- return "\n\n".join(
- item.format(format_type, i + 1)
- for i, item in enumerate(self.fetch(distance_threshold=distance_threshold))
- )
-
- def fetch_nearest(self):
- return ChromaQueryResultItem(self.result, 0)
-
- def fetch_nearest_formatted(self, format_type: Format):
- return self.fetch_nearest().format(format_type)
-
- def fetch_at(self, index):
- return ChromaQueryResultItem(self.result, index)
-
- def fetch_at_formatted(self, index, format_type: Format):
- return self.fetch_at(index).format(format_type)
-
-
-class ChromaCollection:
- """Chroma collection wrapper"""
-
- def __init__(self, collection, embedding_function) -> None:
- self.collection = collection
- self.embedding_function = embedding_function
-
- def query(self, text: str, top_k: int = 1):
- return ChromaQueryResult(
- self.collection.query(query_texts=[text], n_results=top_k)
- )
-
- def embed(self, text: str):
- return self.embedding_function(text)
-
-
-# New classes to work with Chromadb
-class SectionDB(Enum):
- SECTION_ID = auto()
- SECTION_NAME_ID = auto()
- SECTION_LEVEL = auto()
- SECTION_TITLE = auto()
- PREVIOUS_ID = auto()
- CONTENT = auto()
- DISTANCE = auto()
- REF_INDEX = auto()
- URL = auto()
- TOKEN_ESTIMATE = auto()
- PARENT_TREE = auto()
-
- def decodeSection(self):
- if self.SECTION_ID:
- section_id = self.SECTION_ID.value
- else:
- section_id = ""
- if self.SECTION_NAME_ID:
- section_name_id = self.SECTION_NAME_ID.value
- else:
- section_name_id = ""
- if self.SECTION_TITLE:
- section_title = self.SECTION_TITLE.value
- else:
- section_title = ""
- if self.SECTION_LEVEL:
- section_level = self.SECTION_LEVEL.value
- else:
- section_level = ""
- if self.PREVIOUS_ID:
- previous_id = self.PREVIOUS_ID.value
- else:
- previous_id = ""
- if self.PARENT_TREE:
- parent_tree = self.PARENT_TREE.value
- parent_tree_str = str(parent_tree).strip("[]").split(",")
- parent_tree = []
- for num in parent_tree_str:
- parent_tree.append(int(num))
- else:
- parent_tree = ""
- if self.TOKEN_ESTIMATE:
- token_estimate = self.TOKEN_ESTIMATE.value
- else:
- token_estimate = ""
- if self.CONTENT:
- content = self.CONTENT
- else:
- content = ""
- section = Section(
- id=int(section_id),
- name_id=str(section_name_id),
- section_title=str(section_title),
- page_title="",
- level=int(section_level),
- previous_id=int(previous_id),
- parent_tree=parent_tree,
- token_count=float(token_estimate),
- content=str(content),
- )
- return section
-
-
-class ChromaDBGet:
- """Chroma query result item wrapper
-
- Chroma query result has the following type:
- ```
- """
-
- def __init__(self, result) -> None:
- self.document = result["documents"]
- self.metadata = result["metadatas"]
- self.id = result["ids"]
-
- # Measure how many responses were returned
- def __len__(self):
- return len(self.id)
-
- # def get_section_id(self, index: int = 0):
- # return self.id[index]
-
-
-class ChromaSectionDBItem:
- """Chroma query result item wrapper for SectionDB objects
-
- Chroma query result has the following type:
- ```
- """
-
- templates_base = {
- SectionDB.SECTION_ID: "$section_id",
- SectionDB.SECTION_NAME_ID: "$name_id",
- SectionDB.SECTION_LEVEL: "$section_level",
- SectionDB.SECTION_TITLE: "$section_title",
- SectionDB.PREVIOUS_ID: "$previous_id",
- SectionDB.TOKEN_ESTIMATE: "$token_estimate",
- SectionDB.CONTENT: "$content",
- SectionDB.DISTANCE: "$distance",
- SectionDB.URL: "$url",
- SectionDB.PARENT_TREE: "$parent_tree",
- SectionDB.REF_INDEX: "${ref_index}",
- }
-
- def __init__(self, result: QueryResult, index: int) -> None:
- self.document = result["documents"][0][index]
- self.metadata = result["metadatas"][0][index]
- self.distance = result["distances"][0][index]
- self.id = result["ids"][0][index]
-
- def __str__(self):
- return f"This is a section with the following properties:\n\
-Section ID: {SectionDB.SECTION_ID}\n\
-Section Title: {SectionDB.SECTION_TITLE}\n\
-Section URL: {SectionDB.URL}\n"
-
- def format(self, format_type: SectionDB, ref_index: typing.Optional[int] = None):
- d = {
- "content": self.document.strip(),
- "ref_index": ref_index,
- "section_id": self.metadata.get("section_id", None),
- "section_title": self.metadata.get("section_title", None),
- "section_level": self.metadata.get("section_level", None),
- "section_name_id": self.metadata.get("section_name_id", None),
- "tree": self.metadata.get("tree", None),
- "previous_id": self.metadata.get("previous_id", None),
- "token_estimate": self.metadata.get("token_estimate", None),
- "parent_tree": self.metadata.get("tree", None),
- "url": self.metadata.get("url", None),
- "distance": self.distance,
- }
-
- template = self.templates_base[format_type]
- result = string.Template(template).substitute(d)
- return result
-
-
-class ChromaEnhanced:
- """Chroma wrapper"""
-
- def __init__(self, chroma_dir) -> None:
- self.client = chromadb.PersistentClient(path=chroma_dir)
-
- def list_collections(self):
- return self.client.list_collections()
-
- # Returns output_dir if backup was successful, None if it failed
- # Output dir can only be a child to chroma_dir
- def backup_chroma(self, chroma_dir: str, output_dir: typing.Optional[str] = None):
- try:
- chroma_dir = resolve_path(chroma_dir)
- if output_dir == None:
- output_dir = parallel_backup_dir(chroma_dir)
- shutil.copytree(chroma_dir, output_dir, dirs_exist_ok=True)
- logging.info(f"Backed up from: {chroma_dir} to {output_dir}")
- return output_dir
- except:
- return None
-
- # def getSameOriginUUID(self):
- # return self.client.get()
-
- def get_collection(self, name, embedding_function=None, embedding_model=None):
- if embedding_function is not None:
- return ChromaCollectionEnhanced(
- self.client.get_collection(
- name=name, embedding_function=embedding_function
- ),
- embedding_function,
- )
- # Read embedding meta information from the collection
- collection = self.client.get_collection(name=name)
- if embedding_model is None and collection.metadata:
- embedding_model = collection.metadata.get("embedding_model", None)
- if embedding_model is None:
- # If embedding_model is not found in the metadata,
- # use `models/embedding-001` by default.
- logging.info(
- "Embedding model is not specified in the metadata of "
- "the collection %s. Using the default embedding model: models/embedding-001",
- name,
- )
- embedding_model = "models/embedding-001"
- if embedding_model == "local/all-mpnet-base-v2":
- base_dir = os.path.dirname(os.path.abspath(__file__))
- local_model_dir = os.path.join(base_dir, "models/all-mpnet-base-v2")
- embedding_function = (
- embedding_functions.SentenceTransformerEmbeddingFunction(
- model_name=local_model_dir
- )
- )
- else:
- print("Embedding model: " + str(embedding_model))
- try:
- palm = PaLM(embed_model=embedding_model, find_models=False)
- # We cannot redefine embedding_function with def and
- # have to assign a lambda to it
- # pylint: disable-next=unnecessary-lambda-assignment
- embedding_function = lambda texts: [palm.embed(text) for text in texts]
- except:
- raise ChromaEmbeddingModelNotSupportedError(
- f"Embedding model {embedding_model} specified by collection {name} "
- "is not supported."
- )
-
- return ChromaCollectionEnhanced(
- self.client.get_collection(
- name=name, embedding_function=embedding_function
- ),
- embedding_function,
- )
-
-
-class ChromaCollectionEnhanced:
- """Chroma collection wrapper"""
-
- def __init__(self, collection, embedding_function) -> None:
- self.collection = collection
- self.embedding_function = embedding_function
-
- def query(self, text: str, top_k: int = 1):
- dict = {}
- # dict.update({"token_estimate": {"$gt": 100}})
- return ChromaQueryResultEnhanced(
- self.collection.query(query_texts=[text], n_results=top_k, where=dict)
- )
-
- # same_page = self.collection.get(include=["documents","metadatas"],
- # where={"origin_uuid": {"$eq": origin_uuid[i]}},)
-
- # # Return all entries that match an origin_uuid
- # def getPageOriginUUID(self, origin_uuid):
- # return ChromaDBGet(
- # self.collection.get(
- # include=["metadatas", "documents"],
- # where={"origin_uuid": {"$eq": origin_uuid}},
- # )
- # )
-
- # Return a FullPage (list of Section) that match an origin_uuid
- def getPageOriginUUIDList(self, origin_uuid):
- get_obj = ChromaDBGet(
- self.collection.get(
- include=["metadatas", "documents"],
- where={"origin_uuid": {"$eq": origin_uuid}},
- )
- )
- page = []
- # added_id = []
- for i in range(len(get_obj.id)):
- # Makes sure that each ID is only added once
- # if get_obj.id not in added_id:
- section = Section(
- id=get_obj.metadata[i].get("section_id", None),
- name_id=get_obj.metadata[i].get("name_id", None),
- page_title=get_obj.metadata[i].get("page_title", None),
- section_title=get_obj.metadata[i].get("section_title", None),
- level=get_obj.metadata[i].get("level", None),
- previous_id=get_obj.metadata[i].get("previous_id", None),
- parent_tree=get_obj.metadata[i].get("parent_tree", None),
- token_count=get_obj.metadata[i].get("token_estimate", None),
- url=get_obj.metadata[i].get("url", None),
- uuid=get_obj.id[i],
- content=get_obj.document[i],
- )
- page.append(section)
- full_page = FullPage(page)
- return full_page
-
- def getPageSection(self, section_title):
- return self.collection.get(
- include=["metadatas"], where={"section_title": {"$eq": section_title}}
- )
-
- def embed(self, text: str):
- return self.embedding_function(text)
-
-
-class ChromaQueryResultEnhanced:
- """Chroma query result wrapper"""
-
- def __init__(self, result: QueryResult) -> None:
- self.result = result
-
- def __len__(self):
- return len(self.result["documents"][0])
-
- # Get without considering distance
- def clean_get(self):
- for i in range(len(self)):
- item = ChromaSectionDBItem(self.result, i)
- yield item
-
- def fetch(self, distance_threshold=float("inf")):
- for i in range(len(self)):
- item = ChromaSectionDBItem(self.result, i)
- if item.distance < distance_threshold:
- yield item
-
- def fetch_formatted(self, format_type: SectionDB, distance_threshold=float("inf")):
- return "\n\n".join(
- item.format(format_type, i + 1)
- for i, item in enumerate(self.fetch(distance_threshold=distance_threshold))
- )
-
- def fetch_section_list_format(
- self, format_type: SectionDB, distance_threshold=float("inf")
- ):
- results = enumerate(self.fetch(distance_threshold=distance_threshold))
- contents = []
- for i, item in results:
- content_item = item.format(format_type, i + 1)
- contents.append(content_item)
- return contents
-
- def returnSectionObj(self, format_type: SectionDB, distance_threshold=float("inf")):
- results = self.fetch(distance_threshold=distance_threshold)
- contents = []
- # Don't need ids here as we will retrieve those with a get
- i = 0
- for item in results:
- # id = item.id
- content_item = item.format(format_type, i)
- # section = item.decodeSection()
- contents.append(content_item)
- # ids.append(id)
- i += 1
- return contents
-
- # This function returns a list of ChromaSectionDBItem that match results up to
- # limit specific in query. You can then access from each list item with
- # .document, .id, etc...
- def returnDBObjList(self, distance_threshold=float("inf")):
- results = self.fetch(distance_threshold=distance_threshold)
- contents = []
- for item in results:
- contents.append(item)
- return contents
-
- # This function returns a list of ChromaSectionDBItem that match results up to
- # limit specific in query. You can then access from each list item with
- # .document, .id, etc...
- def returnDBObjListGet(self):
- results = self.clean_get()
- contents = []
- # for item in results:
- # content_item = item
- # contents.append(content_item)
- return results
-
- def fetch_nearest(self):
- return ChromaSectionDBItem(self.result, 0)
-
- def fetch_nearest_formatted(self, format_type: SectionDB):
- return self.fetch_nearest().format(format_type)
-
- # def return_response(self):
- # return ChromaSectionDBItem.returnSection(self)
diff --git a/examples/gemini/python/docs-agent/docs_agent/storage/google_semantic_retriever.py b/examples/gemini/python/docs-agent/docs_agent/storage/google_semantic_retriever.py
deleted file mode 100644
index 1a84bc2fd..000000000
--- a/examples/gemini/python/docs-agent/docs_agent/storage/google_semantic_retriever.py
+++ /dev/null
@@ -1,385 +0,0 @@
-#
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-"""Semantic Retrievel module for using the Semantic Retrieval API with AQA"""
-
-import google.ai.generativelanguage as glm
-from absl import logging
-import typing
-
-
-class SemanticRetriever:
- def __init__(self):
- # Initialize variables for the Semantic Retrieval API
- self.generative_service_client = glm.GenerativeServiceClient()
- self.retriever_service_client = glm.RetrieverServiceClient()
- self.permission_service_client = glm.PermissionServiceClient()
-
- def get_corpus(self, corpus_name: str):
- get_corpus_request = glm.GetCorpusRequest(name=corpus_name)
- response = self.retriever_service_client.get_corpus(get_corpus_request)
- return response
-
- # def get_document(self, document_name: str, metadata):
- # get_document_request = glm.GetDocumentRequest(name=corpus_name)
- # try:
- # response = self.retriever_service_client.get_document(get_document_request)
- # return response
- # except:
- # logging.error(
- # f"Document {document_name} does not exist or you do not have permissions"
- # )
-
- # def get_chunk(self, chunk_name: str, metadata):
- # get_chunk_request = glm.GetChunkRequest(name=corpus_name)
- # try:
- # response = self.retriever_service_client.get_chunk(get_chunk_request)
- # return response
- # except:
- # logging.error(
- # f"Chunk {chunk_name} does not exist or you do not have permissions"
- # )
-
- def list_existing_corpora(self, page_token: str = ""):
- corpora_list = glm.ListCorporaRequest(page_size=20, page_token=page_token)
- response = self.retriever_service_client.list_corpora(corpora_list)
- return response
-
- def delete_a_corpus(self, corpus_name: str, force: bool = True):
- try:
- delete = glm.DeleteCorpusRequest(name=corpus_name, force=force)
- delete_corpus_response = self.retriever_service_client.delete_corpus(delete)
- logging.info(f"Successfully deleted corpus: {corpus_name}")
- except:
- logging.info(f"Failed to delete the corpus: {corpus_name}")
-
- def create_a_new_corpus(self, corpus_display: str, corpus_name: str):
- try:
- corpus = glm.Corpus(display_name=corpus_display, name=corpus_name)
- create_corpus_request = glm.CreateCorpusRequest(corpus=corpus)
- corpus_response = self.retriever_service_client.create_corpus(
- create_corpus_request
- )
- logging.info(f"Created a new corpus {corpus_name}.\n{corpus_response}")
- except:
- logging.error(f"Failed to create a new corpus: {corpus_name}")
-
- def does_this_corpus_exist(self, corpus_name: str):
- try:
- corpus_request = glm.GetCorpusRequest(name=corpus_name)
- corpus_response = self.retriever_service_client.get_corpus(corpus_request)
- logging.info(f"{corpus_name} exists.\n{corpus_response}")
- return True
- except:
- return False
-
- def create_a_doc(
- self,
- corpus_name: str,
- page_title: str,
- page_url: typing.Optional[str] = None,
- uuid: typing.Optional[str] = None,
- metadata: typing.Optional[dict] = None,
- ):
- document_resource_name = ""
- try:
- # Create a new document with a custom display name.
- example_document = glm.Document(display_name=page_title)
- # Add metadata.
- document_metadata = []
- if metadata is not None:
- for key_dict, value_dict in metadata.items():
- if isinstance(value_dict, int) or isinstance(value_dict, float):
- document_metadata.append(
- glm.CustomMetadata(key=key_dict, numeric_value=value_dict)
- )
- elif isinstance(value_dict, str):
- document_metadata.append(
- glm.CustomMetadata(key=key_dict, string_value=value_dict)
- )
- else:
- document_metadata.append(
- glm.CustomMetadata(
- key=key_dict, string_value=str(value_dict)
- )
- )
- example_document.custom_metadata.extend(document_metadata)
- else:
- if uuid is not None and uuid != "":
- document_metadata = [
- glm.CustomMetadata(key="uuid", string_value=str(uuid))
- ]
- example_document.custom_metadata.extend(document_metadata)
- # Make the request
- create_document_request = glm.CreateDocumentRequest(
- parent=corpus_name, document=example_document
- )
- create_document_response = self.retriever_service_client.create_document(
- create_document_request
- )
- # Set the `document_resource_name` for subsequent sections.
- document_resource_name = create_document_response.name
- except:
- logging.error(f"Cannot create a new doucment: {page_title}")
- exit(1)
- return document_resource_name
-
- def retrieve_a_doc(self, document_resource_name: str):
- response = []
- try:
- get_document_request = glm.GetDocumentRequest(name=document_resource_name)
- # Make the request
- response = self.retriever_service_client.get_document(get_document_request)
- except:
- logging.error(f"Cannot retrieve a doucment: {document_resource_name}")
- return response
-
- def create_a_chunk(
- self, doc_name, text, metadata, page_url: typing.Optional[str] = None
- ):
- response = ""
- document_metadata = []
- if metadata is not None:
- for key_dict, value_dict in metadata.items():
- if isinstance(value_dict, int) or isinstance(value_dict, float):
- document_metadata.append(
- glm.CustomMetadata(key=key_dict, numeric_value=value_dict)
- )
- elif isinstance(value_dict, str):
- document_metadata.append(
- glm.CustomMetadata(key=key_dict, string_value=value_dict)
- )
- else:
- document_metadata.append(
- glm.CustomMetadata(key=key_dict, string_value=str(value_dict))
- )
- else:
- if page_url is not None:
- document_metadata = [
- glm.CustomMetadata(key="url", string_value=page_url)
- ]
- try:
- chunk = glm.Chunk(
- data={"string_value": text}, custom_metadata=document_metadata
- )
- create_chunk_requests = []
- create_chunk_requests.append(
- glm.CreateChunkRequest(parent=doc_name, chunk=chunk)
- )
- # Make the request
- request = glm.BatchCreateChunksRequest(
- parent=doc_name, requests=create_chunk_requests
- )
- response = self.retriever_service_client.batch_create_chunks(request)
- # Print the response
- logging.info("Created a new text chunk in semantic retriever.\n")
- # print(response)
- except:
- logging.error(f"Failed to create a text chunk for:\n\n{text}")
- # Failed possibly because the size of the text is too large.
- # Quick fix: Split the text into 2 chunks
- lines = text.splitlines()
- text_01 = ""
- text_02 = ""
- text_size = len(lines)
- half_size = int(text_size / 2)
- i = 0
- for line in lines:
- if i < half_size:
- text_01 += line + "\n"
- else:
- text_02 += line + "\n"
- i += 1
- self.create_a_chunk(
- doc_name=doc_name, text=text_01, metadata=document_metadata
- )
- self.create_a_chunk(
- doc_name=doc_name, text=text_02, metadata=document_metadata
- )
- return response
-
- def delete_a_chunk(self, chunk_name: str):
- response = []
- try:
- request = glm.DeleteChunkRequest(name=chunk_name)
- response = self.retriever_service_client.delete_chunk(request)
- except:
- logging.error(f"Cannot delete a chunk: {chunk_name}")
- return response
-
- def create_a_doc_chunk(
- self,
- corpus_name: str,
- page_title: str,
- text,
- page_url: typing.Optional[str] = None,
- metadata: typing.Optional[dict] = None,
- ):
- try:
- doc_name = self.create_a_doc(
- corpus_name=corpus_name,
- page_title=page_title,
- page_url=page_url,
- metadata=metadata,
- )
- try:
- chunk = self.create_a_chunk(
- doc_name=doc_name, text=text, metadata=metadata, page_url=page_url
- )
- return chunk
- except:
- logging.error("Error in creaing a doc chunk: " + page_title)
- return None
- except:
- logging.error("Error in creaing a doc chunk: " + page_title)
- return None
-
- def get_all_docs(self, corpus_name: str, print_output: bool = False):
- all_docs = []
- try:
- request = glm.ListDocumentsRequest(parent=corpus_name, page_size=20)
- response = self.retriever_service_client.list_documents(request)
- index = 0
- for docs in response.documents:
- if print_output:
- index += 1
- print(f"\nDocument # {index}")
- print(f"Name: {docs.name}")
- print(f"Display name: {docs.display_name}")
- metadata = docs.custom_metadata
- for item in metadata:
- if item.key == "uuid":
- print(f"uuid: {item.string_value}")
- elif item.key == "md_hash":
- print(f"md_hash: {item.string_value}")
- all_docs.append(docs)
- while (
- hasattr(response, "next_page_token") and response.next_page_token != ""
- ):
- request = glm.ListDocumentsRequest(
- parent=corpus_name,
- page_size=20,
- page_token=response.next_page_token,
- )
- response = self.retriever_service_client.list_documents(request)
- for docs in response.documents:
- if print_output:
- index += 1
- print(f"\nDocument # {index}")
- print(f"Name: {docs.name}")
- print(f"Display name: {docs.display_name}")
- metadata = docs.custom_metadata
- for item in metadata:
- if item.key == "uuid":
- print(f"uuid: {item.string_value}")
- elif item.key == "md_hash":
- print(f"md_hash: {item.string_value}")
- all_docs.append(docs)
- return all_docs
- except:
- logging.error("Error in listing all docs: " + corpus_name)
- return all_docs
-
- def get_all_chunks(self, doc_name: str, print_output: bool = False):
- all_chunks = []
- try:
- request = glm.ListChunksRequest(parent=doc_name, page_size=20)
- response = self.retriever_service_client.list_chunks(request)
- index = 0
- for chunk in response.chunks:
- if print_output:
- index += 1
- print(f"\nChunk # {index}")
- print(f"Name: {chunk.name}")
- metadata = chunk.custom_metadata
- for item in metadata:
- if item.key == "uuid":
- print(f"uuid: {item.string_value}")
- elif item.key == "md_hash":
- print(f"md_hash: {item.string_value}")
- elif item.key == "text_chunk_filename":
- print(f"text_chunk_filename: {item.string_value}")
- all_chunks.append(chunk)
- while (
- hasattr(response, "next_page_token") and response.next_page_token != ""
- ):
- request = glm.ListChunksRequest(
- parent=doc_name,
- page_size=20,
- page_token=response.next_page_token,
- )
- response = self.retriever_service_client.list_chunks(request)
- for chunk in response.chunks:
- if print_output:
- index += 1
- print(f"\nChunk # {index}")
- print(f"Name: {chunk.name}")
- metadata = chunk.custom_metadata
- for item in metadata:
- if item.key == "uuid":
- print(f"uuid: {item.string_value}")
- elif item.key == "md_hash":
- print(f"md_hash: {item.string_value}")
- elif item.key == "text_chunk_filename":
- print(f"text_chunk_filename: {item.string_value}")
- all_chunks.append(chunk)
- return all_chunks
- except:
- logging.error("Error in listing all chunks: " + doc_name)
- return all_chunks
-
- def share_a_corpus(self, corpus_name: str, email: str, role: str):
- shared_user_email = email
- user_type = "USER"
- user_role = role
- if user_role == "READER" or user_role == "WRITER":
- # Make the request
- request = glm.CreatePermissionRequest(
- parent=corpus_name,
- permission=glm.Permission(
- grantee_type=user_type, email_address=shared_user_email, role=role
- ),
- )
- create_permission_response = (
- self.permission_service_client.create_permission(request)
- )
- print(create_permission_response)
- return create_permission_response
- else:
- return "Invalid input arguments."
-
- def open_a_corpus(self, corpus_name: str):
- user_type = "EVERYONE"
- role = "READER"
-
- # Make the request
- request = glm.CreatePermissionRequest(
- parent=corpus_name,
- permission=glm.Permission(grantee_type=user_type, role=role),
- )
- create_permission_response = self.permission_service_client.create_permission(
- request
- )
- print(create_permission_response)
- return create_permission_response
-
- def delete_permission(self, permission_name: str):
- delete_corpus_name = permission_name
- request = glm.DeletePermissionRequest(name=delete_corpus_name)
- delete_permission_response = self.permission_service_client.delete_permission(
- request
- )
- return delete_permission_response
diff --git a/examples/gemini/python/docs-agent/docs_agent/tests/__init__.py b/examples/gemini/python/docs-agent/docs_agent/tests/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/examples/gemini/python/docs-agent/docs_agent/tests/cli_unit_tests.py b/examples/gemini/python/docs-agent/docs_agent/tests/cli_unit_tests.py
deleted file mode 100644
index 9cfb28c48..000000000
--- a/examples/gemini/python/docs-agent/docs_agent/tests/cli_unit_tests.py
+++ /dev/null
@@ -1,11 +0,0 @@
-"""Unit tests for Docs Agent CLI."""
-
-import unittest
-
-
-class DocsAgentCLIUnitTest(unittest.TestCase):
- def test_basic(self):
- self.assertEqual('hello'.upper(), 'HELLO')
-
-if __name__ == "__main__":
- unittest.main()
diff --git a/examples/gemini/python/docs-agent/docs_agent/tests/test_vector_database.py b/examples/gemini/python/docs-agent/docs_agent/tests/test_vector_database.py
deleted file mode 100644
index 5968f8879..000000000
--- a/examples/gemini/python/docs-agent/docs_agent/tests/test_vector_database.py
+++ /dev/null
@@ -1,184 +0,0 @@
-#
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-"""Test the vector database"""
-
-import os
-import sys
-import google.generativeai as palm
-import chromadb
-from chromadb.config import Settings
-from chromadb.utils import embedding_functions
-from chromadb.api.types import Document, Embedding, Documents, Embeddings
-from rich.console import Console
-from rich.markdown import Markdown
-from rich.panel import Panel
-
-# from rich import print
-from ratelimit import limits, sleep_and_retry
-from docs_agent.utilities import read_config
-from docs_agent.storage.chroma import Chroma, ChromaEnhanced
-
-
-def main():
- BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
-
- # Set the directory path to locate the Chroma vector database
- LOCAL_VECTOR_DB_DIR = os.path.join(BASE_DIR, "vector_stores/chroma")
- COLLECTION_NAME = "docs_collection"
- EMBEDDING_MODEL = None
-
- IS_CONFIG_FILE = True
- if IS_CONFIG_FILE:
- config_values = read_config.ReadConfig()
- LOCAL_VECTOR_DB_DIR = config_values.returnConfigValue("vector_db_dir")
- COLLECTION_NAME = config_values.returnConfigValue("collection_name")
- EMBEDDING_MODEL = config_values.returnConfigValue("embedding_model")
- # Set this in config.yaml as "experimental" to test new features
- DOCS_AGENT_CONFIG = config_values.returnConfigValue("docs_agent_config")
-
- # Set a test question
- QUESTION = "What are some differences between apples and oranges?"
- NUM_RETURNS = 5
-
- # Set up the PaLM API key from the environment
- API_KEY = os.getenv("PALM_API_KEY")
- if API_KEY is None:
- sys.exit("Please set the environment variable PALM_API_KEY to be your API key.")
-
- # Select your PaLM API endpoint
- PALM_API_ENDPOINT = "generativelanguage.googleapis.com"
- palm.configure(api_key=API_KEY, client_options={"api_endpoint": PALM_API_ENDPOINT})
-
- # Set up the path to the local LLM
- # This value is used only when `EMBEDDINGS_TYPE` is set to `LOCAL`
- LOCAL_LLM = os.path.join(BASE_DIR, "models/all-mpnet-base-v2")
-
- # Use the PaLM API for generating embeddings by default
- EMBEDDINGS_TYPE = "PALM"
-
- # PaLM API call limit to 300 per minute
- API_CALLS = 280
- API_CALL_PERIOD = 60
-
- # Create embed function for PaLM
- # API call limit to 5 qps
- @sleep_and_retry
- @limits(calls=API_CALLS, period=API_CALL_PERIOD)
- def embed_palm_api_call(text: Document) -> Embedding:
- if PALM_EMBEDDING_MODEL == "models/embedding-001":
- # Use the `embed_content()` method if it's the new Gemini embedding model.
- return palm.embed_content(model=PALM_EMBEDDING_MODEL, content=text)[
- "embedding"
- ]
- else:
- return palm.generate_embeddings(model=PALM_EMBEDDING_MODEL, text=text)[
- "embedding"
- ]
-
- def embed_palm(texts: Documents) -> Embeddings:
- # Embed the documents using any supported method
- return [embed_palm_api_call(text) for text in texts]
-
- # Initialize Rich console
- ai_console = Console(width=160)
- ai_console.rule("Fold")
-
- if DOCS_AGENT_CONFIG == "experimental":
- chroma_client = ChromaEnhanced(LOCAL_VECTOR_DB_DIR)
- else:
- chroma_client = Chroma(LOCAL_VECTOR_DB_DIR)
-
- if EMBEDDINGS_TYPE == "PALM":
- if EMBEDDING_MODEL is None:
- PALM_EMBEDDING_MODEL = "models/embedding-gecko-001"
- else:
- PALM_EMBEDDING_MODEL = EMBEDDING_MODEL
- emb_fn = embed_palm
- elif EMBEDDINGS_TYPE == "LOCAL":
- emb_fn = embedding_functions.SentenceTransformerEmbeddingFunction(
- model_name=LOCAL_LLM
- )
- else:
- emb_fn = embedding_functions.SentenceTransformerEmbeddingFunction(
- model_name=LOCAL_LLM
- )
-
- if DOCS_AGENT_CONFIG == "experimental":
- embedding_function = embedding_functions.GoogleGenerativeAiEmbeddingFunction(
- api_key=API_KEY, model_name=EMBEDDING_MODEL, task_type="RETRIEVAL_QUERY"
- )
- else:
- embedding_function = emb_fn
-
- collection = chroma_client.get_collection(
- name=COLLECTION_NAME, embedding_function=embedding_function
- )
-
- if DOCS_AGENT_CONFIG == "experimental":
- results = collection.query(QUESTION, NUM_RETURNS)
- else:
- results = collection.query(QUESTION, NUM_RETURNS)
- # results = collection.query(text=[QUESTION], top_k=NUM_RETURNS)
-
- print("")
- ai_console.print(Panel.fit(Markdown("Question: " + QUESTION)))
- print("Results:")
- if DOCS_AGENT_CONFIG == "experimental":
- objlist = results.returnDBObjList()
- for obj in objlist:
- ai_console.print(
- Panel.fit(
- Markdown(
- "Page title: "
- + obj.metadata["page_title"]
- + " ==== Section title: "
- + obj.metadata["section_title"]
- + "\n\nContent:\n"
- + obj.document
- )
- )
- )
- ai_console.print(
- Panel.fit(
- Markdown(
- "Distance: "
- + str(obj.distance)
- + "\n\nURL:\n"
- + obj.metadata["url"]
- )
- )
- )
- else:
- print(results)
- i = 0
- for document in results["documents"]:
- for content in document:
- print("Content " + str(i) + ": ")
- ai_console.print(Panel.fit(Markdown(content)))
- source = results["metadatas"][0][i]
- this_id = results["ids"][0][i]
- distance = results["distances"][0][i]
- print(" source: " + source["source"])
- print(" URL: " + source["url"])
- print(" ID: " + this_id)
- print(" Distance: " + str(distance))
- print("")
- i += 1
-
-
-if __name__ == "__main__":
- main()
diff --git a/examples/gemini/python/docs-agent/docs_agent/utilities/__init__.py b/examples/gemini/python/docs-agent/docs_agent/utilities/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/examples/gemini/python/docs-agent/docs_agent/utilities/config.py b/examples/gemini/python/docs-agent/docs_agent/utilities/config.py
deleted file mode 100644
index bf815842a..000000000
--- a/examples/gemini/python/docs-agent/docs_agent/utilities/config.py
+++ /dev/null
@@ -1,615 +0,0 @@
-#
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-"""Read the configuration file to import user settings"""
-
-import os
-import sys
-import yaml
-import typing
-
-from absl import logging
-from docs_agent.utilities.helpers import get_project_path
-
-
-class DbConfig:
- def __init__(
- self,
- # Currently 'chroma' or 'google_semantic_retriever'
- db_type: str,
- # These for 'chroma'
- vector_db_dir: typing.Optional[str] = None,
- collection_name: typing.Optional[str] = None,
- # These for 'google_semantic_retriever'
- corpus_name: typing.Optional[str] = None,
- # Only used when creating a corpus
- corpus_display: typing.Optional[str] = None,
- secondary_db_type: typing.Optional[str] = None,
- secondary_corpus_name: typing.Optional[str] = None,
- ):
- self.db_type = db_type
- self.vector_db_dir = vector_db_dir
- self.collection_name = collection_name
- self.corpus_name = corpus_name
- self.corpus_display = corpus_display
- self.secondary_db_type = secondary_db_type
- self.secondary_corpus_name = secondary_corpus_name
-
- def __str__(self):
- help_str = ""
- help_str += f"Database type: {self.db_type}\n"
- if self.vector_db_dir is not None and self.vector_db_dir != "":
- help_str += f"Vector database dir: {self.vector_db_dir}\n"
- if self.collection_name is not None and self.collection_name != "":
- help_str += f"Collection name: {self.collection_name}\n"
- if self.corpus_name is not None and self.corpus_name != "":
- help_str += f"Corpus name: {self.corpus_name}\n"
- if self.corpus_display is not None and self.corpus_display != "":
- help_str += f"Corpus display: {self.corpus_display}\n"
- if self.secondary_db_type is not None and self.secondary_db_type != "":
- help_str += f"Secondary database type: {self.secondary_db_type}\n"
- if self.secondary_corpus_name is not None and self.secondary_corpus_name != "":
- help_str += f"Secondary corpus name: {self.secondary_corpus_name}\n"
- return help_str
-
-
- def return_vector_db_dir(self):
- return self.vector_db_dir
-
-
-class ReadDbConfigs:
- # Tries to ingest a list of dictionaries with Input values
- def __init__(self, input_list: list[dict]):
- self.input_list = input_list
-
- def returnDbConfigs(self) -> list[DbConfig]:
- inputs = []
- for item in self.input_list:
- try:
- # Using .get let's you specify optional keys
- db_type = item["db_type"]
- if db_type == "chroma":
- input_item = DbConfig(
- db_type=db_type,
- vector_db_dir=item["vector_db_dir"],
- collection_name=item["collection_name"],
- )
- elif db_type == "google_semantic_retriever":
- input_item = DbConfig(
- db_type=db_type,
- corpus_name=item["corpus_name"],
- corpus_display=item.get("corpus_display", None),
- )
- else:
- logging.error(f"You specified an unsupported db_type {db_type}")
- inputs.append(input_item)
- except KeyError as error:
- logging.error(f"The input is missing a key {error}")
- # Exits the scripts if there is missing input keys
- return sys.exit(1)
- return inputs
-
- def return_chroma_db(self):
- for item in self.input_list:
- if item["vector_db_dir"]:
- return item["vector_db_dir"]
- else:
- return None
-
- def __str__(self):
- return self.input_list
-
-
-class Input:
- def __init__(
- self,
- path: str,
- url_prefix: typing.Optional[str] = None,
- include_path_html: typing.Optional[str] = None,
- exclude_path: typing.Optional[str] = None,
- ):
- self.path = path
- self.url_prefix = url_prefix
- self.include_path_html = include_path_html
- self.exclude_path = exclude_path
-
- def __str__(self):
- help_str = ""
- if self.path is not None and self.path != "":
- help_str += f"Path: {self.path}\n"
- if self.url_prefix is not None and self.url_prefix != "":
- help_str += f"URL prefix: {self.url_prefix}\n"
- if self.include_path_html is not None and self.include_path_html != "":
- help_str += f"Include path html: {self.include_path_html}\n"
- if self.exclude_path is not None and self.exclude_path != "":
- help_str += f"Exclude path: {self.exclude_path}\n"
- return help_str
-
-
-class ReadInputs:
- # Tries to ingest a list of dictionaries with Input values
- def __init__(self, input_list: list[dict]):
- self.input_list = input_list
-
- def returnInputs(self) -> list[Input]:
- inputs = []
- for item in self.input_list:
- try:
- # Using .get let's you specify optional keys
- input_item = Input(
- path=item["path"],
- url_prefix=item["url_prefix"],
- include_path_html=item.get("include_path_html", None),
- exclude_path=item.get("exclude_path", None),
- )
- inputs.append(input_item)
- except KeyError as error:
- logging.error(f"The input is missing a key {error}")
- # Exits the scripts if there is missing input keys
- return sys.exit(1)
- return inputs
-
- def __str__(self):
- return self.input_list
-
-
-class Models:
- def __init__(
- self,
- language_model: str,
- embedding_model: str,
- api_endpoint: typing.Optional[str] = None,
- api_key: typing.Optional[str] = None,
- embedding_api_call_limit: typing.Optional[int] = None,
- embedding_api_call_period: typing.Optional[int] = None,
- ):
- self.language_model = language_model
- self.embedding_model = embedding_model
- # Set up the Google API key from the environment.
- if api_key is None:
- api_key_var = os.getenv("GOOGLE_API_KEY")
- self.api_key = api_key_var
- if api_key_var is None:
- logging.error(
- "Please set the environment variable GOOGLE_API_KEY to be your API key."
- )
- else:
- self.api_key = api_key
- if api_endpoint is None:
- self.api_endpoint = "generativelanguage.googleapis.com"
- else:
- self.api_endpoint = api_endpoint
- if embedding_api_call_limit is None:
- self.embedding_api_call_limit = 1400
- else:
- self.embedding_api_call_limit = embedding_api_call_limit
- if embedding_api_call_period is None:
- self.embedding_api_call_period = 60
- else:
- self.embedding_api_call_period = embedding_api_call_period
-
- def __str__(self):
- help_str = ""
- if self.language_model is not None and self.language_model != "":
- help_str += f"Language model: {self.language_model}\n"
- if self.embedding_model is not None and self.embedding_model != "":
- help_str += f"Embedding model: {self.embedding_model}\n"
- if self.api_key is not None and self.api_key != "":
- help_str += f"API key: {self.api_key}\n"
- if self.api_endpoint is not None and self.api_endpoint != "":
- help_str += f"API endpoint: {self.api_endpoint}\n"
- if self.embedding_api_call_limit is not None and self.embedding_api_call_limit != "":
- help_str += f"Embedding API call limit: {self.embedding_api_call_limit}\n"
- if self.embedding_api_call_period is not None and self.embedding_api_call_period != "":
- help_str += f"Embedding API call period: {self.embedding_api_call_period}\n"
- return help_str
-
-
-class ReadModels:
- # Tries to ingest a list of dictionaries with Models values
- def __init__(self, input_list: list[dict]):
- self.input_list = input_list
-
- def returnModels(self) -> Models:
- # Check to make sure there is only 1 set of models per product
- if len(self.input_list) > 1:
- logging.error(f"Only 1 set of Models is supported")
- # Exits the scripts if there is missing input keys
- return sys.exit(1)
- models = []
- for item in self.input_list:
- try:
- # Using .get let's you specify optional keys
- model_item = Models(
- language_model=item["language_model"],
- embedding_model=item["embedding_model"],
- api_endpoint=item.get("api_endpoint", None),
- embedding_api_call_limit=item.get("embedding_api_call_limit", None),
- embedding_api_call_period=item.get(
- "embedding_api_call_period", None
- ),
- )
- models.append(model_item)
- except KeyError as error:
- logging.error(f"The conditions is missing a key {error}")
- # Exits the scripts if there is missing input keys
- return sys.exit(1)
- return models[0]
-
-
-class Conditions:
- def __init__(
- self,
- condition_text: str,
- fact_check_question: typing.Optional[str] = None,
- model_error_message: typing.Optional[str] = None,
- ):
- default_fact_check_question = (
- "Can you compare the text below to the information provided in this"
- " prompt above and write a short message that warns the readers"
- " about which part of the text they should consider"
- " fact-checking? (Please keep your response concise, focus on only"
- " one important item, but DO NOT USE BOLD TEXT IN YOUR RESPONSE.)"
- )
- default_model_error_message = (
- "Gemini is not able to answer this question at the moment."
- " Rephrase the question and try asking again."
- )
- self.condition_text = condition_text
- if fact_check_question is None:
- self.fact_check_question = default_fact_check_question
- else:
- self.fact_check_question = fact_check_question
- if model_error_message is None:
- self.model_error_message = default_model_error_message
- else:
- self.model_error_message = model_error_message
-
- def __str__(self):
- help_str = ""
- if self.condition_text is not None and self.condition_text != "":
- help_str += f"Condition text: {self.condition_text}\n"
- if self.fact_check_question is not None and self.fact_check_question != "":
- help_str += f"Fact check question: {self.fact_check_question}\n"
- if self.model_error_message is not None and self.model_error_message != "":
- help_str += f"Model error message: {self.model_error_message}\n"
- return help_str
-
-
-class ReadConditions:
- # Tries to ingest a list of dictionaries with Conditions values
- def __init__(self, input_list: list[dict]):
- self.input_list = input_list
-
- def returnConditions(self) -> Conditions:
- # Check to make sure there is only 1 set of conditions per product
- if len(self.input_list) > 1:
- logging.error(f"Only 1 set of conditions is supported")
- # Exits the scripts if there is missing input keys
- return sys.exit(1)
- conditions = []
- for item in self.input_list:
- try:
- # Using .get let's you specify optional keys
- condition_item = Conditions(
- condition_text=item["condition_text"],
- fact_check_question=item.get("fact_check_question", None),
- model_error_message=item.get("model_error_message", None),
- )
- conditions.append(condition_item)
- except KeyError as error:
- logging.error(f"The conditions is missing a key {error}")
- # Exits the scripts if there is missing input keys
- return sys.exit(1)
- return conditions[0]
-
-
-# Class to build a ProductConfig that contains variables to
-# run docs agent
-class ProductConfig:
- def __init__(
- self,
- product_name: str,
- models: Models,
- output_path: str,
- db_configs: list[DbConfig],
- inputs: list[Input],
- conditions: Conditions,
- log_level: typing.Optional[str] = None,
- docs_agent_config: typing.Optional[str] = None,
- markdown_splitter: str = "token_splitter",
- db_type: str = "chroma",
- app_mode: str = "web",
- app_port: int = 5000,
- feedback_mode: str = "rewrite",
- enable_show_logs: str = "False",
- enable_logs_to_markdown: str = "False",
- enable_logs_for_debugging: str = "False",
- enable_delete_chunks: str = "False",
- secondary_db_type: typing.Optional[str] = None,
- secondary_corpus_name: typing.Optional[str] = None,
- ):
- self.product_name = product_name
- self.docs_agent_config = docs_agent_config
- self.markdown_splitter = markdown_splitter
- self.db_type = db_type
- self.output_path = output_path
- self.db_configs = db_configs
- self.models = models
- self.conditions = conditions
- self.log_level = log_level
- self.inputs = inputs
- self.app_mode = app_mode
- self.app_port = app_port
- self.feedback_mode = feedback_mode
- self.enable_show_logs = enable_show_logs
- self.enable_logs_to_markdown = enable_logs_to_markdown
- self.enable_logs_for_debugging = enable_logs_for_debugging
- self.enable_delete_chunks = enable_delete_chunks
- self.secondary_db_type = secondary_db_type
- self.secondary_corpus_name = secondary_corpus_name
-
- def __str__(self):
- # Extracts the list of Inputs
- inputs = []
- for item in self.inputs:
- inputs.append(str(item))
- input_str = "\n".join(inputs)
- # Extracts the list of DbConfigs
- dbconfigs = []
- for item in self.db_configs:
- dbconfigs.append(str(item))
- db_config_str = "\n".join(dbconfigs)
- help_str = ""
- if self.product_name is not None and self.product_name != "":
- help_str += f"Product: {self.product_name}\n"
- if self.docs_agent_config is not None and self.docs_agent_config != "":
- help_str += f"Docs Agent config: {self.docs_agent_config}\n"
- if self.app_mode is not None and self.app_mode != "":
- help_str += f"App mode: {self.app_mode}\n"
- if self.app_port is not None and self.app_port != "":
- help_str += f"App port: {self.app_port}\n"
- if self.feedback_mode is not None and self.feedback_mode != "":
- help_str += f"Feedback mode: {self.feedback_mode}\n"
- if self.enable_show_logs is not None and self.enable_show_logs != "":
- help_str += f"Enable show logs: {self.enable_show_logs}\n"
- if self.enable_logs_to_markdown is not None and self.enable_logs_to_markdown != "":
- help_str += f"Enable logs to Markdown: {self.enable_logs_to_markdown}\n"
- if self.enable_logs_for_debugging is not None and self.enable_logs_for_debugging != "":
- help_str += f"Enable logs for debugging: {self.enable_logs_for_debugging}\n"
- if self.enable_delete_chunks is not None and self.enable_delete_chunks != "":
- help_str += f"Enable delete chunks: {self.enable_delete_chunks}\n"
- if self.markdown_splitter is not None and self.markdown_splitter != "":
- help_str += f"Markdown splitter: {self.markdown_splitter}\n"
- if self.db_type is not None and self.db_type != "":
- help_str += f"Database type: {self.db_type}\n"
- if self.secondary_db_type is not None and self.secondary_db_type != "":
- help_str += f"Secondary database type: {self.secondary_db_type}\n"
- if self.secondary_corpus_name is not None and self.secondary_corpus_name != "":
- help_str += f"Secondary corpus name: {self.secondary_corpus_name}\n"
- if self.output_path is not None and self.output_path != "":
- help_str += f"Output path: {self.output_path}\n"
- if db_config_str != "":
- help_str += f"\nDatabase configs:\n{db_config_str}\n"
- if self.log_level is not None and self.log_level != "":
- help_str += f"Log level: {self.log_level}\n"
- if self.models is not None and self.models != "":
- help_str += f"\nModels:\n{self.models}\n"
- if input_str != "":
- help_str += f"\nInputs:\n{input_str}\n"
- if self.conditions is not None and self.conditions != "":
- help_str += f"Conditions:\n{self.conditions}\n"
- return help_str
-
-
-# This class is used to store the content of a list of
-# ProductConfig
-class ConfigFile:
- def __init__(
- self,
- products: list[ProductConfig],
- ):
- self.products = products
-
- def __str__(self):
- output = ["Products:"]
- for item in self.products:
- output.append(item)
- return "\n".join(output)
-
- def return_first(self):
- return self.products[0]
-
-
-# Class used to read a specific configuration file or defaults
-# to a config.yaml file in the root of the project
-# printing the object returns the path as a string
-# returnProducts() with an optional product flag will return
-# all product configurations or the specified one
-class ReadConfig:
- # Tries to ingest the configuration file and validate its keys
- # Defaults to the config.yaml file in the source of the project
- def __init__(
- self, yaml_path: str = os.path.join(get_project_path(), "config.yaml")
- ):
- self.yaml_path = yaml_path
- try:
- with open(yaml_path, "r", encoding="utf-8") as inp_yaml:
- self.config_values = yaml.safe_load(inp_yaml)
- # self.yaml_path = yaml_path
- except FileNotFoundError:
- logging.error(f"The config file {self.yaml_path} does not exist.")
- # Exits the scripts if there is no valid config file
- return sys.exit(1)
-
- def __str__(self):
- return self.yaml_path
-
- def returnProducts(self, product: typing.Optional[str] = None) -> ConfigFile:
- products = []
- try:
- for item in self.config_values["configs"]:
- name = ""
- try:
- name = item["product_name"]
- except KeyError as error:
- logging.error(f"Your configuration is missing a {error}")
- return sys.exit()
- # Set the default value of `app_mode` to "web"
- supported_app_modes = [
- "web",
- "full",
- "widget",
- "widget-pro",
- "experimental",
- ]
- try:
- app_mode = item["app_mode"]
- except KeyError:
- app_mode = "web"
- if app_mode not in supported_app_modes:
- logging.error(
- f"Your configuration is using an invalid mode: {app_mode}. Valid modes are {supported_app_modes}"
- )
- return sys.exit(1)
- try:
- app_port = int(item["app_port"])
- except KeyError:
- app_port = 5000
- try:
- feedback_mode = item["feedback_mode"]
- except KeyError:
- feedback_mode = "feedback"
- try:
- enable_show_logs = item["enable_show_logs"]
- except KeyError:
- enable_show_logs = "False"
- try:
- enable_logs_to_markdown = item["enable_logs_to_markdown"]
- except KeyError:
- enable_logs_to_markdown = "False"
- try:
- enable_logs_for_debugging = item["enable_logs_for_debugging"]
- except KeyError:
- enable_logs_for_debugging = "False"
- try:
- enable_delete_chunks = item["enable_delete_chunks"]
- except KeyError:
- enable_delete_chunks = "False"
- try:
- secondary_db_type = item["secondary_db_type"]
- except KeyError:
- secondary_db_type = None
- try:
- secondary_corpus_name = item["secondary_corpus_name"]
- except KeyError:
- secondary_corpus_name = None
- try:
- product_config = ProductConfig(
- product_name=item["product_name"],
- docs_agent_config=item["docs_agent_config"],
- markdown_splitter=item["markdown_splitter"],
- db_type=item["db_type"],
- output_path=item["output_path"],
- db_configs=item["db_configs"],
- log_level=item["log_level"],
- models=item["models"],
- conditions=item["conditions"],
- inputs=item["inputs"],
- app_mode=app_mode,
- app_port=app_port,
- feedback_mode=feedback_mode,
- enable_show_logs=enable_show_logs,
- enable_logs_to_markdown=enable_logs_to_markdown,
- enable_logs_for_debugging=enable_logs_for_debugging,
- enable_delete_chunks=enable_delete_chunks,
- secondary_db_type=secondary_db_type,
- secondary_corpus_name=secondary_corpus_name,
- )
- # This is done for keys with children
- # Inputs
- new_inputs = ReadInputs(input_list=item["inputs"]).returnInputs()
- product_config.inputs = new_inputs
- product_config.inputs = new_inputs
- # Conditions
- new_conditions = ReadConditions(
- input_list=item["conditions"]
- ).returnConditions()
- product_config.conditions = new_conditions
- # Models
- new_models = ReadModels(input_list=item["models"]).returnModels()
- product_config.models = new_models
- # DbConfigs
- new_db_configs = ReadDbConfigs(
- input_list=item["db_configs"]
- ).returnDbConfigs()
- product_config.db_configs = new_db_configs
- # Append
- products.append(product_config)
- except KeyError as error:
- if name != "":
- logging.error(
- f"A product configuration, {name} is missing a key {error}"
- )
- return sys.exit(1)
- if product is not None:
- match = False
- for item in products:
- # If product is found, update products to a single entry in products
- if item.product_name == product:
- match = True
- products = [item]
- break
- # Exits if product is not found
- if not match:
- logging.error(
- f"The product {product} does not exist in {self.yaml_path}"
- )
- return sys.exit(1)
- config_file = ConfigFile(products=products)
- return config_file
- except KeyError as error:
- logging.error(
- f"Your configuration is missing a configs key {error} in {self.yaml_path}"
- )
- # Todo print out an example file
- return sys.exit(1)
-
-
-# Function to make using common_options simpler
-def return_config_and_product(
- config_file: typing.Optional[str] = None,
- product: list[str] = [""],
- model: typing.Optional[str] = None,
-):
- if config_file is None:
- loaded_config = ReadConfig()
- else:
- loaded_config = ReadConfig(yaml_path=config_file)
- final_products = []
- if product == () or product == [""]:
- product_config = loaded_config.returnProducts()
- final_products = product_config.products
- else:
- for item in product:
- product_config = loaded_config.returnProducts(product=item)
- final_products.append(product_config.products[0])
- # Overwrites the language_model for all products
- if model is not None:
- for item in final_products:
- item.models.language_model = model
- product_config = ConfigFile(products=final_products)
- return loaded_config, product_config
diff --git a/examples/gemini/python/docs-agent/docs_agent/utilities/helpers.py b/examples/gemini/python/docs-agent/docs_agent/utilities/helpers.py
deleted file mode 100644
index 2e51d777f..000000000
--- a/examples/gemini/python/docs-agent/docs_agent/utilities/helpers.py
+++ /dev/null
@@ -1,183 +0,0 @@
-#
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-"""General utility functions"""
-
-import urllib, os
-from flask import url_for
-import bs4
-import typing
-from pathlib import Path, PurePath
-import markdown
-
-
-# This retrieves the project root, regardless of module path
-def get_project_path() -> Path:
- return Path(__file__).parent.parent.parent
-
-
-# Function to resolve path. If no base_dir is specified, use the project root
-def resolve_path(rel_or_abs_path: str, base_dir: Path = get_project_path()):
- path = rel_or_abs_path.strip()
- if path.startswith("/"):
- return path
- else:
- return os.path.join(base_dir, path)
-
-
-# Function to add / to a path.
-def end_path_backslash(input_path: str):
- if not input_path.endswith("/"):
- input_path = input_path + "/"
- return input_path
-
-
-# Function to remove / from a path to combine with url
-def start_path_no_backslash(input_path: str):
- if input_path.startswith("/"):
- # Drop first character
- input_path = input_path[1:]
- return input_path
-
-
-# Function to create a path to a copy directory in the parent directory.
-# Backup dir is relevant to the input path root
-def parallel_backup_dir(rel_or_abs_path: str, backup_dir_name: str = "backup"):
- path = Path(resolve_path(rel_or_abs_path))
- pure_path = PurePath(resolve_path(rel_or_abs_path))
- backup_dir = (
- end_path_backslash(str(path.parent.absolute()))
- + end_path_backslash(start_path_no_backslash(backup_dir_name))
- + str(pure_path.name)
- )
- return backup_dir
-
-
-# Function to return the parent directory
-def return_pure_dir(rel_or_abs_path: str):
- pure_path = PurePath(resolve_path(rel_or_abs_path))
- return str(pure_path.name)
-
-
-# This function adds a scheme URL
-def add_scheme_url(url: str, scheme: str = "https"):
- return url if "://" in url else f"{scheme}://{url}"
-
-
-# Parse a response containing a list of related questions from the language model
-# and convert it into an HTML-based list.
-def parse_related_questions_response_to_html_list(response):
- soup = bs4.BeautifulSoup(response, "html.parser")
- for item in soup.find_all("li"):
- if item.find("code"):
- # If there are tags, strip the tags.
- text = item.text
- link = soup.new_tag(
- "a",
- href=url_for("chatui.question", ask=urllib.parse.quote_plus(text)),
- )
- link.string = text
- item.string = ""
- item.code = ""
- item.append(link)
- elif item.find("p"):
- # If there are tags, strip the tags.
- text = item.find("p").text
- link = soup.new_tag(
- "a",
- href=url_for("chatui.question", ask=urllib.parse.quote_plus(text)),
- )
- link.string = text
- item.string = ""
- item.append(link)
- elif item.string is not None:
- link = soup.new_tag(
- "a",
- href=url_for(
- "chatui.question", ask=urllib.parse.quote_plus(item.string)
- ),
- )
- link.string = item.string
- item.string = ""
- item.append(link)
- return soup
-
-
-# Allows us to build a list of html, for example for fact checker and limit to
-# a max_count. Optional section_content to display content chunks along with URLs
-# This is not in use, but a good example to better manipulate data
-def build_list_html_links(
- urls: list,
- section_titles: list,
- page_titles: list,
- distances: list,
- section_content: typing.Optional[list] = None,
- max_count: typing.Optional[int] = None,
-):
- if max_count == None:
- max_count = len(urls)
- md_list = ""
- for count in range(max_count):
- section_url = named_link_md(urls[count], section_titles[count])
- page_url = named_link_md(
- trim_section_for_page_link(urls[count]), page_titles[count]
- )
- if max_count == 1:
- md_list += f"{section_url} from the {page_url} page"
- if distances != None:
- md_list += f"\n\nDistance: {distances[count]}\n"
- if section_content != None:
- md_list += f"\n\n{section_content[count]}\n"
- else:
- md_list += f"- {section_url} from the {page_url} page\n"
- md_list += f"\n\n Distance: {distances[count]}\n"
- if section_content != None:
- md_list += f"\n\n {markdown.markdown(section_content[count])}\n"
- html_list = markdown.markdown(md_list)
- return html_list
-
-
-# These functions are made to be used in a Jinja template when rendering a page
-
-
-# Build an html URL link
-def named_link_html(url: str, label: str = "", **kwargs):
- soup = bs4.BeautifulSoup("")
- final_url = add_scheme_url(url)
- attrs = dict(href=f"{final_url}", target=f"_blank", **kwargs)
- tag = soup.new_tag(name="a", attrs=attrs)
- # leading and trailing blank space doesn't get removed?
- tag.string = label.strip()
- return tag.prettify()
-
-
-def named_link_md(url: str, label: str = ""):
- final_url = add_scheme_url(url)
- link = f"[{label}]({final_url})"
- return link
-
-
-# Create a top level link for a page
-def trim_section_for_page_link(url: str):
- anchor_marker_url = "#"
- page_url = url.split(anchor_marker_url, 1)[0]
- return page_url
-
-
-# Function to convert md to html for flask template
-def md_to_html(md: str):
- html = markdown.markdown(md)
- return html
diff --git a/examples/gemini/python/docs-agent/docs_agent/utilities/tasks.py b/examples/gemini/python/docs-agent/docs_agent/utilities/tasks.py
deleted file mode 100644
index ad6b85ef2..000000000
--- a/examples/gemini/python/docs-agent/docs_agent/utilities/tasks.py
+++ /dev/null
@@ -1,389 +0,0 @@
-#
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-"""Read the configuration file to import tasks"""
-
-import os
-import sys
-import yaml
-import typing
-
-from absl import logging
-from docs_agent.utilities.helpers import get_project_path, resolve_path
-
-
-class Flags:
- def __init__(
- self,
- model: typing.Optional[str] = None,
- file: typing.Optional[str] = None,
- perfile: typing.Optional[str] = None,
- allfiles: typing.Optional[str] = None,
- file_ext: typing.Optional[str] = None,
- rag: typing.Optional[bool] = False,
- yaml: typing.Optional[str] = None,
- out: typing.Optional[str] = None,
- new: typing.Optional[bool] = None,
- cont: typing.Optional[str] = None,
- terminal: typing.Optional[str] = None,
- ):
- self.model = model
- self.file = file
- self.perfile = perfile
- self.allfiles = allfiles
- self.file_ext = file_ext
- self.rag = rag
- self.yaml = yaml
- self.out = out
- self.new = new
- self.cont = cont
- self.terminal = terminal
-
- def __str__(self):
- help_str = ""
- if self.model is not None or self.model != "":
- help_str += f"Model: {self.model}\n"
- if self.file is not None and self.file != "":
- help_str += f"File: {self.file}\n"
- if self.perfile is not None and self.perfile != "":
- help_str += f"Per file: {self.perfile}\n"
- if self.allfiles is not None and self.allfiles != "":
- help_str += f"All files: {self.allfiles}\n"
- if self.file_ext is not None and self.file_ext != "":
- help_str += f"File ext: {self.file_ext}\n"
- if self.rag is not None and self.rag!= False:
- help_str += f"RAG: {str(self.rag)}\n"
- if self.yaml is not None and self.yaml != "":
- help_str += f"YAML: {self.yaml}\n"
- if self.out is not None and self.out != "":
- help_str += f"Out: {self.out}\n"
- if self.new is not None and self.new != False:
- help_str += f"New: {str(self.new)}\n"
- if self.cont is not None and self.cont != "":
- help_str += f"Cont: {self.cont}\n"
- if self.terminal is not None and self.terminal != "":
- help_str += f"Terminal: {self.terminal}\n"
- return help_str
-
-
-def dictionaryToFlags(flags: dict) -> Flags:
- if "model" in flags:
- model = str(flags["model"])
- else:
- model = ""
- if "file" in flags:
- file = str(flags["file"])
- else:
- file = ""
- if "perfile" in flags:
- perfile = str(flags["perfile"])
- else:
- perfile = ""
- if "allfiles" in flags:
- allfiles = str(flags["allfiles"])
- else:
- allfiles = ""
- if "file_ext" in flags:
- file_ext = str(flags["file_ext"])
- else:
- file_ext = ""
- if "rag" in flags:
- rag = bool(flags["rag"])
- else:
- rag = False
- if "yaml" in flags:
- yaml = str(flags["yaml"])
- else:
- yaml = ""
- if "out" in flags:
- out = str(flags["out"])
- else:
- out = ""
- if "new" in flags:
- new = bool(flags["new"])
- else:
- new = None
- if "cont" in flags:
- cont = str(flags["cont"])
- else:
- cont = ""
- if "terminal" in flags:
- terminal = str(flags["terminal"])
- else:
- terminal = ""
- flags = Flags(
- model=model,
- file=file,
- perfile=perfile,
- allfiles=allfiles,
- file_ext=file_ext,
- rag=rag,
- yaml=yaml,
- out=out,
- new=new,
- cont=cont,
- terminal=terminal,
- )
- return flags
-
-
-class Step:
- def __init__(
- self,
- name: str,
- function: typing.Optional[str],
- prompt: typing.Optional[str],
- flags: typing.Optional[Flags] = None,
- description: typing.Optional[str] = None,
- ):
- self.name = name
- self.function = function
- self.prompt = prompt
- self.flags = flags
- self.description = description
-
- def __str__(self):
- help_str = ""
- if self.name is not None or self.name != "":
- help_str += f"Task: {self.name}\n"
- if self.description is not None or self.description != "":
- help_str += f"Description: {self.description}\n"
- if self.function is not None or self.function != "":
- help_str += f"Function: {self.function}\n"
- if self.prompt is not None or self.prompt != "":
- help_str += f"Prompt: {self.prompt}\n"
- if self.flags is not None:
- help_str += f"Flags:\n{self.flags}\n"
- return help_str
-
-
-class ReadSteps:
- # Tries to ingest a list of dictionaries with step_list values
- def __init__(self, step_list: list[dict]):
- self.step_list = step_list
-
- def returnSteps(self) -> list[Step]:
- inputs = []
- for item in self.step_list:
- try:
- # Creates a Flags object from the dictionary
- if "flags" in item:
- flags = dictionaryToFlags(item["flags"])
- else:
- flags = None
- # Using .get let's you specify optional keys
- step_item = Step(
- name=item["name"],
- function=item["function"],
- prompt=item["prompt"],
- flags=flags,
- description=item.get("description", None),
- )
- inputs.append(step_item)
- except KeyError as error:
- logging.error(f"The task is missing a key {error}")
- # Exits the scripts if there is missing input keys
- return sys.exit(1)
- return inputs
-
- def __str__(self):
- return self.step_list
-
-
-# Class to define an task that performs tasks
-class TaskConfig:
- def __init__(
- self,
- name: str,
- steps: list[Step],
- # Required as a main model. Any task can overwrite this value with it's
- # own model.
- model: str,
- preamble: typing.Optional[str] = None,
- description: typing.Optional[str] = None,
- ):
- self.name = name
- self.model = model
- self.preamble = preamble
- self.description = description
- self.steps = steps
-
- def __str__(self):
- help_str = ""
- if self.name is not None:
- help_str += f"Name: {self.name}\n"
- if self.model is not None:
- help_str += f"Model: {self.model}\n"
- if self.description is not None:
- help_str += f"Description: {self.description}\n"
- if self.preamble is not None:
- help_str += f"Preamble: {self.preamble}\n"
- # Extracts the list of Steps
- steps = []
- if self.steps is not None:
- for step in self.steps:
- steps.append(str(step))
- task_str = "\n".join(steps)
- help_str += f"\nSteps:\n\n{task_str}\n"
- return help_str
-
-
-# This class is used to store the content of a list of
-# TaskConfig
-class TaskConfigFile:
- def __init__(
- self,
- tasks: list[TaskConfig],
- ):
- self.tasks = tasks
-
- def __str__(self):
- output = []
- for item in self.tasks:
- output.append(str(item))
- return str(output)
-
- def return_first(self):
- return self.tasks[0]
-
- def return_task(self, task: str):
- for item in self.tasks:
- if item.name == task:
- return TaskConfigFile(tasks=[item])
-
-
-# Class used to read a specific task configuration file or defaults
-# to a yaml file in the tasks directory of the project
-# printing the object returns the path as a string
-# returnTasks() with an optional task flag will return
-# all task configurations or the specified one
-class ReadTaskConfig:
- # Tries to ingest a task configuration file and validate its keys.
- def __init__(
- self, yaml_path: str = os.path.join(get_project_path(), "tasks/release-notes-task.yaml")
- ):
- self.yaml_path = yaml_path
- try:
- with open(self.yaml_path, "r", encoding="utf-8") as inp_yaml:
- self.config_values = yaml.safe_load(inp_yaml)
- except FileNotFoundError:
- logging.error(f"The task file {self.yaml_path} does not exist.")
- return sys.exit(1)
-
- def __str__(self):
- return self.yaml_path
-
- def returnTasks(self, task: typing.Optional[str] = None) -> TaskConfigFile:
- tasks = []
- try:
- for item in self.config_values["tasks"]:
- name = ""
- try:
- name = item["name"]
- except KeyError as error:
- logging.error(f"Your task configuration is missing a {error}")
- return sys.exit()
- try:
- name = item["model"]
- except KeyError as error:
- logging.error(f"Your task configuration is missing a {error}")
- return sys.exit()
- try:
- task_config = TaskConfig(
- name=item["name"],
- steps=item["steps"],
- model=item["model"],
- description=item.get("description", None),
- preamble=item.get("preamble", None),
- )
- new_steps = ReadSteps(step_list=item["steps"]).returnSteps()
- task_config.steps = new_steps
- tasks.append(task_config)
- except KeyError as error:
- if name != "":
- logging.error(
- f"A product configuration, {name} is missing a key {error}"
- )
- return sys.exit(1)
- if task is not None:
- match = False
- for item in tasks:
- # If task is found, update tasks to a single entry in products
- if item.name == task:
- match = True
- tasks = [item]
- break
- # Exits if product is not found
- if not match:
- logging.error(
- f"The task {task} does not exist in {self.yaml_path}"
- )
- return sys.exit(1)
- tasks_file = TaskConfigFile(tasks=tasks)
- return tasks_file
- except KeyError as error:
- logging.error(
- f"Your task configuration file is missing a configuration key {error} in {self.yaml_path}"
- )
- return sys.exit(1)
-
-
-# Function to make using common_options simpler
-def return_tasks_config(
- tasks_file: typing.Optional[str],
- task: typing.Optional[tuple[str]],
-):
- loaded_tasks = ReadTaskConfig(yaml_path=tasks_file)
- final_tasks = []
- if task == () or task == [""]:
- task_config = loaded_tasks.returnTasks()
- final_tasks = task_config.tasks
- else:
- for item in task:
- task_config = loaded_tasks.returnTasks(task=item)
- final_tasks.append(task_config.tasks[0])
- task_config = TaskConfigFile(tasks=final_tasks)
- return task_config
-
-
-# # Function to return a list of tasks from a given task configuration file
-# def return_list_of_tasks(task_config: ReadTaskConfig) -> list[TaskConfig]:
-# tasks = task_config.returnTasks()
-# final_tasks = []
-# for item in tasks:
-# final_tasks.append(item)
-# return final_tasks
-
-
-# Function to convert all yaml files inside a path into a single yaml
-def combine_yaml_files(
- path: typing.Optional[str] = None,
-):
- final_tasks = []
- for root, dirs, files in os.walk(resolve_path(path)):
- for file in files:
- if file.endswith(".yaml"):
- full_file_path = os.path.join(resolve_path(path), file)
- task_config = ReadTaskConfig(yaml_path=full_file_path).returnTasks()
- if len(task_config.tasks) == 1:
- final_tasks.append(task_config.tasks[0])
- else:
- for item in task_config.tasks:
- final_tasks.append(item)
- merged_config = TaskConfigFile(tasks=final_tasks)
- # for item in merged_config.tasks:
- # print(item)
- return merged_config
diff --git a/examples/gemini/python/docs-agent/poetry.lock b/examples/gemini/python/docs-agent/poetry.lock
deleted file mode 100644
index 4992b9b55..000000000
--- a/examples/gemini/python/docs-agent/poetry.lock
+++ /dev/null
@@ -1,4609 +0,0 @@
-# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
-
-[[package]]
-name = "absl-py"
-version = "1.4.0"
-description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
-optional = false
-python-versions = ">=3.6"
-files = [
- {file = "absl-py-1.4.0.tar.gz", hash = "sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d"},
- {file = "absl_py-1.4.0-py3-none-any.whl", hash = "sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47"},
-]
-
-[[package]]
-name = "annotated-types"
-version = "0.6.0"
-description = "Reusable constraint types to use with typing.Annotated"
-optional = false
-python-versions = ">=3.8"
-files = [
- {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
- {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
-]
-
-[[package]]
-name = "anyio"
-version = "4.3.0"
-description = "High level compatibility layer for multiple asynchronous event loop implementations"
-optional = false
-python-versions = ">=3.8"
-files = [
- {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"},
- {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"},
-]
-
-[package.dependencies]
-exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
-idna = ">=2.8"
-sniffio = ">=1.1"
-typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
-
-[package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
-
-[[package]]
-name = "array-record"
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- {file = "array_record-0.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ebd7c12c0a159a44c6c8fdaf915036fcddfdfa499a878ddcff9761c6d1af685"},
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-]
-
-[package.dependencies]
-absl-py = "*"
-etils = {version = "*", extras = ["epath"]}
-
-[package.extras]
-beam = ["apache-beam[gcp] (>=2.50.0)", "google-cloud-storage (>=2.11.0)", "tensorflow (>=2.14.0)"]
-
-[[package]]
-name = "asgiref"
-version = "3.8.1"
-description = "ASGI specs, helper code, and adapters"
-optional = false
-python-versions = ">=3.8"
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-]
-
-[[package]]
-name = "zipp"
-version = "3.18.1"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-optional = false
-python-versions = ">=3.8"
-files = [
- {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
- {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"},
-]
-
-[package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
-
-[metadata]
-lock-version = "2.0"
-python-versions = ">=3.10,<3.12"
-content-hash = "630829af61db0eb47edf2ebf68494279ae5ee16da85f212814646abd264f645e"
diff --git a/examples/gemini/python/docs-agent/pylintrc b/examples/gemini/python/docs-agent/pylintrc
deleted file mode 100644
index 5626ae60e..000000000
--- a/examples/gemini/python/docs-agent/pylintrc
+++ /dev/null
@@ -1,429 +0,0 @@
-# This Pylint rcfile contains a best-effort configuration to uphold the
-# best-practices and style described in the Google Python style guide:
-# https://google.github.io/styleguide/pyguide.html
-#
-# Its canonical open-source location is:
-# https://google.github.io/styleguide/pylintrc
-
-[MASTER]
-
-# Files or directories to be skipped. They should be base names, not paths.
-ignore=third_party
-
-# Files or directories matching the regex patterns are skipped. The regex
-# matches against base names, not paths.
-ignore-patterns=
-
-# Pickle collected data for later comparisons.
-persistent=no
-
-# List of plugins (as comma separated values of python modules names) to load,
-# usually to register additional checkers.
-load-plugins=
-
-# Use multiple processes to speed up Pylint.
-jobs=4
-
-# Allow loading of arbitrary C extensions. Extensions are imported into the
-# active Python interpreter and may run arbitrary code.
-unsafe-load-any-extension=no
-
-
-[MESSAGES CONTROL]
-
-# Only show warnings with the listed confidence levels. Leave empty to show
-# all. Valid levels: HIGH, INFERENCE, INFERENCE_FAILURE, UNDEFINED
-confidence=
-
-# Enable the message, report, category or checker with the given id(s). You can
-# either give multiple identifier separated by comma (,) or put this option
-# multiple time (only on the command line, not in the configuration file where
-# it should appear only once). See also the "--disable" option for examples.
-#enable=
-
-# Disable the message, report, category or checker with the given id(s). You
-# can either give multiple identifiers separated by comma (,) or put this
-# option multiple times (only on the command line, not in the configuration
-# file where it should appear only once).You can also use "--disable=all" to
-# disable everything first and then reenable specific checks. For example, if
-# you want to run only the similarities checker, you can use "--disable=all
-# --enable=similarities". If you want to run only the classes checker, but have
-# no Warning level messages displayed, use"--disable=all --enable=classes
-# --disable=W"
-disable=abstract-method,
- apply-builtin,
- arguments-differ,
- attribute-defined-outside-init,
- backtick,
- bad-option-value,
- basestring-builtin,
- buffer-builtin,
- c-extension-no-member,
- consider-using-enumerate,
- cmp-builtin,
- cmp-method,
- coerce-builtin,
- coerce-method,
- delslice-method,
- div-method,
- duplicate-code,
- eq-without-hash,
- execfile-builtin,
- file-builtin,
- filter-builtin-not-iterating,
- fixme,
- getslice-method,
- global-statement,
- hex-method,
- idiv-method,
- implicit-str-concat,
- import-error,
- import-self,
- import-star-module-level,
- inconsistent-return-statements,
- input-builtin,
- intern-builtin,
- invalid-str-codec,
- locally-disabled,
- long-builtin,
- long-suffix,
- map-builtin-not-iterating,
- misplaced-comparison-constant,
- missing-function-docstring,
- metaclass-assignment,
- next-method-called,
- next-method-defined,
- no-absolute-import,
- no-else-break,
- no-else-continue,
- no-else-raise,
- no-else-return,
- no-init, # added
- no-member,
- no-name-in-module,
- no-self-use,
- nonzero-method,
- oct-method,
- old-division,
- old-ne-operator,
- old-octal-literal,
- old-raise-syntax,
- parameter-unpacking,
- print-statement,
- raising-string,
- range-builtin-not-iterating,
- raw_input-builtin,
- rdiv-method,
- reduce-builtin,
- relative-import,
- reload-builtin,
- round-builtin,
- setslice-method,
- signature-differs,
- standarderror-builtin,
- suppressed-message,
- sys-max-int,
- too-few-public-methods,
- too-many-ancestors,
- too-many-arguments,
- too-many-boolean-expressions,
- too-many-branches,
- too-many-instance-attributes,
- too-many-locals,
- too-many-nested-blocks,
- too-many-public-methods,
- too-many-return-statements,
- too-many-statements,
- trailing-newlines,
- unichr-builtin,
- unicode-builtin,
- unnecessary-pass,
- unpacking-in-except,
- useless-else-on-loop,
- useless-object-inheritance,
- useless-suppression,
- using-cmp-argument,
- wrong-import-order,
- xrange-builtin,
- zip-builtin-not-iterating,
-
-
-[REPORTS]
-
-# Set the output format. Available formats are text, parseable, colorized, msvs
-# (visual studio) and html. You can also give a reporter class, eg
-# mypackage.mymodule.MyReporterClass.
-output-format=text
-
-# Tells whether to display a full report or only the messages
-reports=no
-
-# Python expression which should return a note less than 10 (10 is the highest
-# note). You have access to the variables errors warning, statement which
-# respectively contain the number of errors / warnings messages and the total
-# number of statements analyzed. This is used by the global evaluation report
-# (RP0004).
-evaluation=10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10)
-
-# Template used to display messages. This is a python new-style format string
-# used to format the message information. See doc for all details
-#msg-template=
-
-
-[BASIC]
-
-# Good variable names which should always be accepted, separated by a comma
-good-names=main,_
-
-# Bad variable names which should always be refused, separated by a comma
-bad-names=
-
-# Colon-delimited sets of names that determine each other's naming style when
-# the name regexes allow several styles.
-name-group=
-
-# Include a hint for the correct naming format with invalid-name
-include-naming-hint=no
-
-# List of decorators that produce properties, such as abc.abstractproperty. Add
-# to this list to register other decorators that produce valid properties.
-property-classes=abc.abstractproperty,cached_property.cached_property,cached_property.threaded_cached_property,cached_property.cached_property_with_ttl,cached_property.threaded_cached_property_with_ttl
-
-# Regular expression matching correct function names
-function-rgx=^(?:(?PsetUp|tearDown|setUpModule|tearDownModule)|(?P_?[A-Z][a-zA-Z0-9]*)|(?P_?[a-z][a-z0-9_]*))$
-
-# Regular expression matching correct variable names
-variable-rgx=^[a-z][a-z0-9_]*$
-
-# Regular expression matching correct constant names
-const-rgx=^(_?[A-Z][A-Z0-9_]*|__[a-z0-9_]+__|_?[a-z][a-z0-9_]*)$
-
-# Regular expression matching correct attribute names
-attr-rgx=^_{0,2}[a-z][a-z0-9_]*$
-
-# Regular expression matching correct argument names
-argument-rgx=^[a-z][a-z0-9_]*$
-
-# Regular expression matching correct class attribute names
-class-attribute-rgx=^(_?[A-Z][A-Z0-9_]*|__[a-z0-9_]+__|_?[a-z][a-z0-9_]*)$
-
-# Regular expression matching correct inline iteration names
-inlinevar-rgx=^[a-z][a-z0-9_]*$
-
-# Regular expression matching correct class names
-class-rgx=^_?[A-Z][a-zA-Z0-9]*$
-
-# Regular expression matching correct module names
-module-rgx=^(_?[a-z][a-z0-9_]*|__init__)$
-
-# Regular expression matching correct method names
-method-rgx=(?x)^(?:(?P_[a-z0-9_]+__|runTest|setUp|tearDown|setUpTestCase|tearDownTestCase|setupSelf|tearDownClass|setUpClass|(test|assert)_*[A-Z0-9][a-zA-Z0-9_]*|next)|(?P_{0,2}[A-Z][a-zA-Z0-9_]*)|(?P_{0,2}[a-z][a-z0-9_]*))$
-
-# Regular expression which should only match function or class names that do
-# not require a docstring.
-no-docstring-rgx=(__.*__|main|test.*|.*test|.*Test)$
-
-# Minimum line length for functions/classes that require docstrings, shorter
-# ones are exempt.
-docstring-min-length=10
-
-
-[TYPECHECK]
-
-# List of decorators that produce context managers, such as
-# contextlib.contextmanager. Add to this list to register other decorators that
-# produce valid context managers.
-contextmanager-decorators=contextlib.contextmanager,contextlib2.contextmanager
-
-# Tells whether missing members accessed in mixin class should be ignored. A
-# mixin class is detected if its name ends with "mixin" (case insensitive).
-ignore-mixin-members=yes
-
-# List of module names for which member attributes should not be checked
-# (useful for modules/projects where namespaces are manipulated during runtime
-# and thus existing member attributes cannot be deduced by static analysis. It
-# supports qualified module names, as well as Unix pattern matching.
-ignored-modules=
-
-# List of class names for which member attributes should not be checked (useful
-# for classes with dynamically set attributes). This supports the use of
-# qualified names.
-ignored-classes=optparse.Values,thread._local,_thread._local
-
-# List of members which are set dynamically and missed by pylint inference
-# system, and so shouldn't trigger E1101 when accessed. Python regular
-# expressions are accepted.
-generated-members=
-
-
-[FORMAT]
-
-# Maximum number of characters on a single line.
-max-line-length=88
-
-# TODO(https://github.com/PyCQA/pylint/issues/3352): Direct pylint to exempt
-# lines made too long by directives to pytype.
-
-# Regexp for a line that is allowed to be longer than the limit.
-ignore-long-lines=(?x)(
- ^\s*(\#\ )??$|
- ^\s*(from\s+\S+\s+)?import\s+.+$)
-
-# Allow the body of an if to be on the same line as the test if there is no
-# else.
-single-line-if-stmt=yes
-
-# Maximum number of lines in a module
-max-module-lines=99999
-
-# String used as indentation unit. The internal Google style guide mandates 2
-# spaces. Google's externaly-published style guide says 4, consistent with
-# PEP 8. Here, we use 2 spaces, for conformity with many open-sourced Google
-# projects (like TensorFlow).
-indent-string=' '
-
-# Number of spaces of indent required inside a hanging or continued line.
-indent-after-paren=4
-
-# Expected format of line ending, e.g. empty (any line ending), LF or CRLF.
-expected-line-ending-format=
-
-
-[MISCELLANEOUS]
-
-# List of note tags to take in consideration, separated by a comma.
-notes=TODO
-
-
-[STRING]
-
-# This flag controls whether inconsistent-quotes generates a warning when the
-# character used as a quote delimiter is used inconsistently within a module.
-check-quote-consistency=yes
-
-
-[VARIABLES]
-
-# Tells whether we should check for unused import in __init__ files.
-init-import=no
-
-# A regular expression matching the name of dummy variables (i.e. expectedly
-# not used).
-dummy-variables-rgx=^\*{0,2}(_$|unused_|dummy_)
-
-# List of additional names supposed to be defined in builtins. Remember that
-# you should avoid to define new builtins when possible.
-additional-builtins=
-
-# List of strings which can identify a callback function by name. A callback
-# name must start or end with one of those strings.
-callbacks=cb_,_cb
-
-# List of qualified module names which can have objects that can redefine
-# builtins.
-redefining-builtins-modules=six,six.moves,past.builtins,future.builtins,functools
-
-
-[LOGGING]
-
-# Logging modules to check that the string format arguments are in logging
-# function parameter format
-logging-modules=logging,absl.logging,tensorflow.io.logging
-
-
-[SIMILARITIES]
-
-# Minimum lines number of a similarity.
-min-similarity-lines=4
-
-# Ignore comments when computing similarities.
-ignore-comments=yes
-
-# Ignore docstrings when computing similarities.
-ignore-docstrings=yes
-
-# Ignore imports when computing similarities.
-ignore-imports=no
-
-
-[SPELLING]
-
-# Spelling dictionary name. Available dictionaries: none. To make it working
-# install python-enchant package.
-spelling-dict=
-
-# List of comma separated words that should not be checked.
-spelling-ignore-words=
-
-# A path to a file that contains private dictionary; one word per line.
-spelling-private-dict-file=
-
-# Tells whether to store unknown words to indicated private dictionary in
-# --spelling-private-dict-file option instead of raising a message.
-spelling-store-unknown-words=no
-
-
-[IMPORTS]
-
-# Deprecated modules which should not be used, separated by a comma
-deprecated-modules=regsub,
- TERMIOS,
- Bastion,
- rexec,
- sets
-
-# Create a graph of every (i.e. internal and external) dependencies in the
-# given file (report RP0402 must not be disabled)
-import-graph=
-
-# Create a graph of external dependencies in the given file (report RP0402 must
-# not be disabled)
-ext-import-graph=
-
-# Create a graph of internal dependencies in the given file (report RP0402 must
-# not be disabled)
-int-import-graph=
-
-# Force import order to recognize a module as part of the standard
-# compatibility libraries.
-known-standard-library=
-
-# Force import order to recognize a module as part of a third party library.
-known-third-party=enchant, absl
-
-# Analyse import fallback blocks. This can be used to support both Python 2 and
-# 3 compatible code, which means that the block might have code that exists
-# only in one or another interpreter, leading to false positives when analysed.
-analyse-fallback-blocks=no
-
-
-[CLASSES]
-
-# List of method names used to declare (i.e. assign) instance attributes.
-defining-attr-methods=__init__,
- __new__,
- setUp
-
-# List of member names, which should be excluded from the protected access
-# warning.
-exclude-protected=_asdict,
- _fields,
- _replace,
- _source,
- _make
-
-# List of valid names for the first argument in a class method.
-valid-classmethod-first-arg=cls,
- class_
-
-# List of valid names for the first argument in a metaclass class method.
-valid-metaclass-classmethod-first-arg=mcs
-
-
-[EXCEPTIONS]
-
-# Exceptions that will emit a warning when being caught. Defaults to
-# "Exception"
-overgeneral-exceptions=builtins.StandardError,
- builtins.Exception,
- builtins.BaseException
diff --git a/examples/gemini/python/docs-agent/pyproject.toml b/examples/gemini/python/docs-agent/pyproject.toml
deleted file mode 100644
index 095ec4904..000000000
--- a/examples/gemini/python/docs-agent/pyproject.toml
+++ /dev/null
@@ -1,51 +0,0 @@
-[tool.poetry]
-name = "docs-agent"
-version = "0.3.5"
-description = ""
-authors = ["Docs Agent contributors"]
-readme = "README.md"
-packages = [{include = "docs_agent"}]
-
-[tool.poetry.dependencies]
-python = ">=3.10,<3.12"
-rich = "^13.3.5"
-Markdown = "^3.4.3"
-beautifulsoup4 = "^4.12.2"
-protobuf = ">=3.20"
-ratelimit = "^2.2.1"
-absl-py = "^1.4.0"
-python-frontmatter = "^1.0.0"
-flatdict = "^4.0.1"
-google-generativeai = "^0.5.0"
-uuid = "^1.30"
-pytz = ">=2020.1"
-chromadb = "^0.4.22"
-click = "^8.1.7"
-pyyaml = "^6.0.1"
-numpy = "^1.26.4"
-tqdm = "^4.66.2"
-flask = "^2.3.2"
-
-[tool.poetry.group.dev.dependencies]
-ipython = "^8.13.2"
-pylint = "^2.17.4"
-black = "^23.3.0"
-deptry = "^0.13.0"
-
-[tool.deptry.per_rule_ignores]
-DEP003 = ["docs_agent"]
-DEP002 = ["uuid"]
-
-[tool.poetry.group.internal]
-optional = true
-
-[tool.poetry.group.internal.dependencies]
-seqio = "^0.0.16"
-
-[build-system]
-requires = ["poetry-core"]
-build-backend = "poetry.core.masonry.api"
-
-
-[tool.poetry.scripts]
-agent = "docs_agent.interfaces.cli.cli:cli"
diff --git a/examples/gemini/python/docs-agent/scripts/helpme.sh b/examples/gemini/python/docs-agent/scripts/helpme.sh
deleted file mode 100755
index 183306c7f..000000000
--- a/examples/gemini/python/docs-agent/scripts/helpme.sh
+++ /dev/null
@@ -1,53 +0,0 @@
-#!/bin/bash
-
-#
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-# IF NECESSARY, ADJUST THIS PATH TO YOUR `docs-agent` DIRECTORY.
-docs_agent_dir="$HOME/docs-agent"
-
-# Initialize request and filename variables.
-request=""
-filename=""
-
-# Loop through the arguments and look for the `--file` flag.
-while [[ $# -gt 0 ]]; do
- case "$1" in
- --file)
- shift
- filename="$1"
- shift
- ;;
- *)
- request="$request $1"
- shift
- ;;
- esac
-done
-
-# Get the full path for the filename.
-if [[ -n "$filename" ]]; then
- filename=$(readlink -m ${filename})
-else
- filename="None"
-fi
-
-# Check if the POETRY_ACTIVE environment variable is set
-if [ -z "$POETRY_ACTIVE" ]; then
- cd "$docs_agent_dir" && poetry run agent helpme $request --file "$filename"
-else
- agent helpme $request --file "$filename"
-fi
diff --git a/examples/gemini/python/docs-agent/scripts/tellme.sh b/examples/gemini/python/docs-agent/scripts/tellme.sh
deleted file mode 100755
index a51d48554..000000000
--- a/examples/gemini/python/docs-agent/scripts/tellme.sh
+++ /dev/null
@@ -1,28 +0,0 @@
-#!/bin/bash
-
-#
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-# IF NECESSARY, ADJUST THIS PATH TO YOUR `docs-agent` DIRECTORY.
-docs_agent_dir="$HOME/docs-agent"
-
-# Check if the POETRY_ACTIVE environment variable is set
-if [ -z "$POETRY_ACTIVE" ]; then
- cd "$docs_agent_dir" && poetry run agent tellme $@
-else
- agent tellme $@
-fi
-
diff --git a/examples/gemini/python/docs-agent/tasks/release-notes-task.yaml b/examples/gemini/python/docs-agent/tasks/release-notes-task.yaml
deleted file mode 100644
index 27a47b5b8..000000000
--- a/examples/gemini/python/docs-agent/tasks/release-notes-task.yaml
+++ /dev/null
@@ -1,16 +0,0 @@
-tasks:
- - name: "DraftReleaseNotes"
- model: "models/gemini-1.5-flash-latest"
- description: "An agent that generates a draft of Docs Agent release notes from git commit messages."
- steps:
- - name: "Read git commit messages"
- description: "Load the git log commit messages from the local Fuchsia checkout since a target date."
- function: "posix"
- prompt: "git --no-pager log --since=2024-05-26"
- - name: "Create an initial release notes draft"
- function: "helpme"
- prompt: "Based on the commit messages above, create an intial release notes draft that introduces new features and brings attention to important messages."
- - name: "Revise the release notes draft"
- function: "helpme"
- prompt: "Revise the release notes draft above to be more concise and better structured, and if appropriate, include practical examples."
-
diff --git a/examples/gemini/python/docs-agent/third_party/css/chatbox.css b/examples/gemini/python/docs-agent/third_party/css/chatbox.css
deleted file mode 100644
index e7d562c98..000000000
--- a/examples/gemini/python/docs-agent/third_party/css/chatbox.css
+++ /dev/null
@@ -1,42 +0,0 @@
-/**
- * Copyright (c) 2023 by Landgreen (https://codepen.io/lilgreenland/pen/pyVvqB)
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy of
- * this software and associated documentation files (the "Software"), to deal in
- * the Software without restriction, including without limitation the rights to
- * use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
- * of the Software, and to permit persons to whom the Software is furnished to do
- * so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
- * FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
- * COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
- * IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
- * CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
- */
-
-#body-box {
- margin: auto;
- max-width: 800px;
- font: 15px arial, sans-serif;
- background-color: white;
- border-style: solid;
- border-width: 1px;
- padding: 20px 25px 25px;
- box-shadow: 5px 5px 5px grey;
- border-radius: 15px;
-}
-
-#chat-border {
- border-style: solid;
- background-color: #f6f9f6;
- border-width: 3px;
- margin: 20px;
- padding: 10px 20px 15px 15px;
- border-radius: 15px;
-}
-
diff --git a/examples/gemini/python/docs-agent/third_party/g2docsmd-html/LICENSE b/examples/gemini/python/docs-agent/third_party/g2docsmd-html/LICENSE
deleted file mode 100644
index 7a4a3ea24..000000000
--- a/examples/gemini/python/docs-agent/third_party/g2docsmd-html/LICENSE
+++ /dev/null
@@ -1,202 +0,0 @@
-
- Apache License
- Version 2.0, January 2004
- http://www.apache.org/licenses/
-
- TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
-
- 1. Definitions.
-
- "License" shall mean the terms and conditions for use, reproduction,
- and distribution as defined by Sections 1 through 9 of this document.
-
- "Licensor" shall mean the copyright owner or entity authorized by
- the copyright owner that is granting the License.
-
- "Legal Entity" shall mean the union of the acting entity and all
- other entities that control, are controlled by, or are under common
- control with that entity. For the purposes of this definition,
- "control" means (i) the power, direct or indirect, to cause the
- direction or management of such entity, whether by contract or
- otherwise, or (ii) ownership of fifty percent (50%) or more of the
- outstanding shares, or (iii) beneficial ownership of such entity.
-
- "You" (or "Your") shall mean an individual or Legal Entity
- exercising permissions granted by this License.
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- and conversions to other media types.
-
- "Work" shall mean the work of authorship, whether in Source or
- Object form, made available under the License, as indicated by a
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- "Derivative Works" shall mean any work, whether in Source or Object
- form, that is based on (or derived from) the Work and for which the
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- of this License, Derivative Works shall not include works that remain
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- "Contribution" shall mean any work of authorship, including
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- on behalf of whom a Contribution has been received by Licensor and
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- 2. Grant of Copyright License. Subject to the terms and conditions of
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- as part of the Derivative Works; within the Source form or
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- within a display generated by the Derivative Works, if and
- wherever such third-party notices normally appear. The contents
- of the NOTICE file are for informational purposes only and
- do not modify the License. You may add Your own attribution
- notices within Derivative Works that You distribute, alongside
- or as an addendum to the NOTICE text from the Work, provided
- that such additional attribution notices cannot be construed
- as modifying the License.
-
- You may add Your own copyright statement to Your modifications and
- may provide additional or different license terms and conditions
- for use, reproduction, or distribution of Your modifications, or
- for any such Derivative Works as a whole, provided Your use,
- reproduction, and distribution of the Work otherwise complies with
- the conditions stated in this License.
-
- 5. Submission of Contributions. Unless You explicitly state otherwise,
- any Contribution intentionally submitted for inclusion in the Work
- by You to the Licensor shall be under the terms and conditions of
- this License, without any additional terms or conditions.
- Notwithstanding the above, nothing herein shall supersede or modify
- the terms of any separate license agreement you may have executed
- with Licensor regarding such Contributions.
-
- 6. Trademarks. This License does not grant permission to use the trade
- names, trademarks, service marks, or product names of the Licensor,
- except as required for reasonable and customary use in describing the
- origin of the Work and reproducing the content of the NOTICE file.
-
- 7. Disclaimer of Warranty. Unless required by applicable law or
- agreed to in writing, Licensor provides the Work (and each
- Contributor provides its Contributions) on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
- implied, including, without limitation, any warranties or conditions
- of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
- PARTICULAR PURPOSE. You are solely responsible for determining the
- appropriateness of using or redistributing the Work and assume any
- risks associated with Your exercise of permissions under this License.
-
- 8. Limitation of Liability. In no event and under no legal theory,
- whether in tort (including negligence), contract, or otherwise,
- unless required by applicable law (such as deliberate and grossly
- negligent acts) or agreed to in writing, shall any Contributor be
- liable to You for damages, including any direct, indirect, special,
- incidental, or consequential damages of any character arising as a
- result of this License or out of the use or inability to use the
- Work (including but not limited to damages for loss of goodwill,
- work stoppage, computer failure or malfunction, or any and all
- other commercial damages or losses), even if such Contributor
- has been advised of the possibility of such damages.
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- 9. Accepting Warranty or Additional Liability. While redistributing
- the Work or Derivative Works thereof, You may choose to offer,
- and charge a fee for, acceptance of support, warranty, indemnity,
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- on Your own behalf and on Your sole responsibility, not on behalf
- of any other Contributor, and only if You agree to indemnify,
- defend, and hold each Contributor harmless for any liability
- incurred by, or claims asserted against, such Contributor by reason
- of your accepting any such warranty or additional liability.
-
- END OF TERMS AND CONDITIONS
-
- APPENDIX: How to apply the Apache License to your work.
-
- To apply the Apache License to your work, attach the following
- boilerplate notice, with the fields enclosed by brackets "[]"
- replaced with your own identifying information. (Don't include
- the brackets!) The text should be enclosed in the appropriate
- comment syntax for the file format. We also recommend that a
- file or class name and description of purpose be included on the
- same "printed page" as the copyright notice for easier
- identification within third-party archives.
-
- Copyright [yyyy] [name of copyright owner]
-
- Licensed under the Apache License, Version 2.0 (the "License");
- you may not use this file except in compliance with the License.
- You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.
\ No newline at end of file
diff --git a/examples/gemini/python/docs-agent/third_party/g2docsmd-html/exportmd.gs b/examples/gemini/python/docs-agent/third_party/g2docsmd-html/exportmd.gs
deleted file mode 100644
index aa8afd00f..000000000
--- a/examples/gemini/python/docs-agent/third_party/g2docsmd-html/exportmd.gs
+++ /dev/null
@@ -1,1244 +0,0 @@
-/*
-Parsing from mangini/gdocs2md.
-Modified by clearf to add files to the google directory structure.
-Modified by lmmx to write Markdown, going back to HTML-incorporation.
-
-Usage:
- NB: don't use on top-level doc (in root Drive folder) See comment in setupScript function.
- Adding this script to your doc:
- - Tools > Script Manager > New
- - Select "Blank Project", then paste this code in and save.
- Running the script:
- - Tools > Script Manager
- - Select "convertDocumentToMarkdown" function.
- - Click Run button.
- - Converted doc will be added to a "Markdown" folder in the source document's directories.
- - Images will be added to a subfolder of the "Markdown" folder.
-*/
-
-function onInstall(e) {
- onOpen(e);
-}
-
-function onOpen() {
- // Add a menu with some items, some separators, and a sub-menu.
- setupScript();
-// In future:
-// DocumentApp.getUi().createAddonMenu();
- DocumentApp.getUi().createMenu('Markdown')
- .addItem('View as markdown', 'markdownPopup')
- .addSubMenu(DocumentApp.getUi().createMenu('Export \u2192 markdown')
- .addItem('Export to local file', 'convertSingleDoc')
- .addItem('Export entire folder to local file', 'convertFolder')
- .addItem('Customise markdown conversion', 'changeDefaults'))
- .addSeparator()
- .addSubMenu(DocumentApp.getUi().createMenu('Toggle comment visibility')
- .addItem('Image source URLs', 'toggleImageSourceStatus')
- .addItem('All comments', 'toggleCommentStatus'))
- .addItem("Add comment", 'addCommentDummy')
- .addToUi();
-}
-
-function changeDefaults() {
- var ui = DocumentApp.getUi();
- var default_settings = '{ use your imagination... }';
- var greeting = ui.alert('This should be set up to display defaults from variables passed to getDocComments etc., e.g. something like:\n\nDefault settings are:'
- + '\ncomments - not checking deleted comments.\nDocument - this document (alternatively specify a document ID).'
- + '\n\nClick OK to edit these, or cancel.',
- ui.ButtonSet.OK_CANCEL);
- ui.alert("There's not really need for this yet, so this won't proceed, regardless of what you just pressed.");
- return;
-
- // Future:
- if (greeting == ui.Button.CANCEL) {
- ui.alert("Alright, never mind!");
- return;
- }
- // otherwise user clicked OK
- // user clicked OK, to proceed with editing these defaults. Ask case by case whether to edit
-
- var response = ui.prompt('What is x (default y)?', ui.ButtonSet.YES_NO_CANCEL);
-
- // Example code from docs at https://developers.google.com/apps-script/reference/base/button-set
- // Process the user's response.
- if (response.getSelectedButton() == ui.Button.YES) {
- Logger.log('The user\'s name is %s.', response.getResponseText());
- } else if (response.getSelectedButton() == ui.Button.NO) {
- Logger.log('The user didn\'t want to provide a name.');
- } else {
- Logger.log('The user clicked the close button in the dialog\'s title bar.');
- }
-}
-
-function setupScript() {
- var script_properties = PropertiesService.getScriptProperties();
- script_properties.setProperty("user_email", Drive.About.get().user.emailAddress);
-
- // manual way to do the following:
- // script_properties.setProperty("folder_id", "INSERT_FOLDER_ID_HERE");
- // script_properties.setProperty("document_id", "INSERT_FILE_ID_HERE");
-
- var doc_id = DocumentApp.getActiveDocument().getId();
- script_properties.setProperty("document_id", doc_id);
- var doc_parents = DriveApp.getFileById(doc_id).getParents();
- var folders = doc_parents;
- while (folders.hasNext()) {
- var folder = folders.next();
- var folder_id = folder.getId();
- }
- script_properties.setProperty("folder_id", folder_id);
- script_properties.setProperty("image_folder_prefix", ""); // add if modifying image location
-}
-
-function addCommentDummy() {
- // Dummy function to be switched during development for addComment
- DocumentApp.getUi()
- .alert('Cancelling comment entry',
- "There's not currently a readable anchor for Google Docs - you need to write your own!"
-
- + "\n\nThe infrastructure for using such an anchoring schema is sketched out in"
- + " the exportmd.gs script's addComment function, for an anchor defined in anchor_props"
-
- + "\n\nSee github.com/lmmx/devnotes/wiki/Custom-Google-Docs-comment-anchoring-schema",
- DocumentApp.getUi().ButtonSet.OK
- );
- return;
-}
-
-function addComment() {
-
- var doc_id = PropertiesService.getScriptProperties().getProperty('document_id');
- var user_email = PropertiesService.getScriptProperties().getProperty('email');
-/* Drive.Comments.insert({content: "hello world",
- context: {
- type: 'text/html',
- value: 'hinges'
- }
- }, document_id); */
- var revision_list = Drive.Revisions.list(doc_id).items;
- var recent_revision_id = revision_list[revision_list.length - 1].id;
- var anchor_props = {
- revision_id: recent_revision_id,
- starting_offset: '',
- offset_length: '',
- total_chars: ''
- }
- insertComment(doc_id, 'hinges', 'Hello world!', my_email, anchor_props);
-}
-
-function insertComment(fileId, selected_text, content, user_email, anchor_props) {
-
- // NB Deal with handling missing args
-
- /*
- anchor_props is an object with 4 properties:
- - revision_id,
- - starting_offset,
- - offset_length,
- - total_chars
- */
-
- var context = Drive.newCommentContext();
- context.value = selected_text;
- context.type = 'text/html';
- var comment = Drive.newComment();
- comment.kind = 'drive#comment';
- var author = Drive.newUser();
- author.kind = 'drive#user';
- author.displayName = user_email;
- author.isAuthenticatedUser = true;
- comment.author = author;
- comment.content = type;
- comment.context = context;
- comment.status = 'open';
- comment.anchor = "{'r':"
- + anchor_props.revision_id
- + ",'a':[{'txt':{'o':"
- + anchor_props.starting_offset
- + ",'l':"
- + anchor_props.offset_length
- + ",'ml':"
- + anchor_props.total_chars
- + "}}]}";
- comment.fileId = fileId;
- Drive.Comments.insert(comment, fileId);
-}
-
-function decodeScriptSwitches(optional_storage_name) {
- var property_name = (typeof(optional_storage_name) == 'string') ? optional_storage_name : 'switch_settings';
- var script_properties = PropertiesService.getScriptProperties();
- return script_properties
- .getProperty(property_name)
- .replace(/{|}/g,'') // Get the statements out of brackets...
- .replace(',', ';'); // ...swap the separator for a semi-colon...
- // ...evaluate the stored object string as statements upon string return and voila, switches interpreted
-}
-
-
-function getDocComments(comment_list_settings) {
- var possible_settings = ['images', 'include_deleted'];
-
- // switches are processed and set on a script-wide property called "comment_switches"
- var property_name = 'comment_switches';
- switchHandler(comment_list_settings, possible_settings, property_name);
-
- var script_properties = PropertiesService.getScriptProperties();
- var comment_switches = decodeScriptSwitches(property_name);
- eval(comment_switches);
-
- var document_id = script_properties.getProperty("document_id");
- var comments_list = Drive.Comments.list(document_id,
- {includeDeleted: include_deleted,
- maxResults: 100 }); // 0 to 100, default 20
- // See https://developers.google.com/drive/v2/reference/comments/list for all options
- var comment_array = [];
- var image_sources = [];
- // To collect all comments' image URLs to match against inlineImage class elements LINK_URL attribute
-
- for (var i = 0; i < comments_list.items.length; i++) {
- var comment = comments_list.items[i];
- var comment_text = comment.content;
- var comment_status = comment.status;
- /*
- images is a generic parameter passed in as a switch to
- return image URL-containing comments only.
-
- If the parameter is provided, it's no longer undefined.
- */
- var img_url_regex = /(https?:\/\/.+?\.(png|gif|jpe?g))/;
- var has_img_url = img_url_regex.test(comment_text);
-
- if (images && !has_img_url) continue; // no image URL, don't store comment
- if (has_img_url) image_sources.push(RegExp.$1);
- comment_array.push(comment);
- }
- script_properties.setProperty('image_source_URLs', image_sources)
- return comment_array;
-}
-
-function isValidAttrib(attribute) { // Sanity check function, called per element in array
-
- // Possible list of attributes to check against (leaving out unchanging ones like kind)
- possible_attrs = [
- 'selfLink',
- 'commentId',
- 'createdDate',
- 'modifiedDate',
- 'author',
- 'htmlContent',
- 'content',
- 'deleted',
- 'status',
- 'context',
- 'anchor',
- 'fileId',
- 'fileTitle',
- 'replies',
- 'author'
- ];
-
- // Check if attribute(s) provided can be used to match/filter comments:
-
- if (typeof(attribute) == 'string' || typeof(attribute) == 'object') {
- // Either a string/object (1-tuple)
-
- // Generated with Javascript, gist: https://gist.github.com/lmmx/451b301e1d78ed2c10b4
-
- // Return false from the function if any of the attributes specified are not in the above list
-
- // If an object, the name is the key, otherwise it's just the string
- if (attribute.constructor === Object) {
- var att_keys = [];
- for (var att_key in attribute) {
- if (attribute.hasOwnProperty(att_key)) {
- att_keys.push(att_key);
- }
- }
- for (var n=0; n < att_keys.length; n++) {
- var attribute_name = att_keys[n];
- var is_valid_attrib = (possible_attrs.indexOf(attribute_name) > -1);
-
- // The attribute needs to be one of the possible attributes listed above, match its given value(s),
- // else returning false will throw an error from onAttribError when within getCommentAttributes
- return is_valid_attrib;
- }
- } else if (typeof(attribute) == 'string') {
- var attribute_name = attribute;
- var is_valid_attrib = (possible_attrs.indexOf(attribute_name) > -1);
- return is_valid_attrib;
- // Otherwise is a valid (string) attribute
- } else if (attribute.constructor === Array) {
- return false; // Again, if within getCommentAttributes this will cause an error - shouldn't pass an array
- } else {
- // Wouldn't expect this to happen, so give a custom error message
- Logger.log('Unknown type (assumed impossible) passed to isValidAttrib: ', attribute, attribute.constructor);
- throw new TypeError('Unknown passed to isValidAttrib - this should be receiving 1-tuples only, see logs for details.');
- }
- } else return false; // Neither string/object / array of strings &/or objects - not a valid attribute
-}
-
-function getCommentAttributes(attributes, comment_list_settings) {
-
- // A filter function built on Comments.list, for a given list of attributes
- // Objects' values are ignored here, only their property titles are used to filter comments.
-
-
- /*
- - attributes: array of attributes to filter/match on
- - comment_list_settings: (optional) object with properties corresponding to switches in getDocComments
-
- This function outputs an array of the same length as the comment list, containing
- values for all fields matched/filtered on.
- */
-
-
- /*
- * All possible comment attributes are listed at:
- * https://developers.google.com/drive/v2/reference/comments#properties
- */
-
- // Firstly, describe the type in a message to be thrown in case of TypeError:
-
- var attrib_def_message = "'attributes' should be a string (the attribute to get for each comment), "
- + "an object (a key-value pair for attribute and desired value), "
- + "or an array of objects (each with key-value pairs)";
-
- function onAttribError(message) {
- Logger.log(message);
- throw new TypeError(message);
- }
-
- // If (optional) comment_list_settings isn't set, make a getDocComments call with switches left blank.
- if (typeof(comment_list_settings) == 'undefined') var comment_list_settings = {};
- if (typeof(attributes) == 'undefined') onAttribError(attrib_def_message); // no variables specified
-
- if (isValidAttrib(attributes)) { // This will be true if there's only one attribute, not provided in an array
-
- /*
- Make a 1-tuple (array of 1) from either an object or a string,
- i.e. a single attribute, with or without a defined value respectively.
- */
-
- var attributes = Array(attributes);
-
- } else if (attributes.constructor === Array) {
-
- // Check each item in the array is a valid attribute specification
- for (var l = 0; l < attributes.length; l++) {
- if (! isValidAttrib(attributes[l]) ) {
- onAttribError('Error in attribute '
- + (l+1) + ' of ' + attributes.length
- + '\n\n' + + attrib_def_message);
- }
- }
-
- } else { // Neither attribute nor array of attributes
- throw new TypeError(attrib_def_message);
- }
-
- // Attributes now holds an array of string and/or objects specifying a comment match and/or filter query
-
- var comment_list = getDocComments(comment_list_settings);
- var comment_attrib_lists = [];
- for (var i in comment_list) {
- var comment = comment_list[i];
- var comment_attrib_list = [];
- for (var j in attributes) {
- var comment_attribute = comment_list[i][attributes[j]];
- comment_attrib_list.push(comment_attribute);
- }
- comment_attrib_lists.push(comment_attrib_list);
- }
- // The array comment_attrib_lists is now full of the requested attributes,
- // of length equal to that of attributes
- return comment_attrib_lists;
-}
-
-// Example function to use getCommentAttributes:
-
-function filterComments(attributes, comment_list_settings) {
- var comment_attributes = getCommentAttributes(attributes, comment_list_settings);
- var m = attribs.indexOf('commentId') // no need to keep track of commentID array position
- comm_attribs.map(function(attrib_pair) {
- if (attrib_pair[1]);
- })
-}
-
-function toggleCommentStatus(comment_switches){
- // Technically just image URL-containing comments, not sources just yet
- var attribs = ['commentId', 'status'];
- var comm_attribs = getCommentAttributes(attribs, comment_switches);
- var rearrangement = [];
- comm_attribs.map(
- function(attrib_pair) { // for every comment return with the images_only / images: true comments.list setting,
- switch (attrib_pair[1]){ // check the status of each
- case 'open':
- rearrangement.push([attrib_pair[0],'resolved']);
- break;
- case 'resolved':
- rearrangement.push([attrib_pair[0],'open']);
- break;
- }
- }
- );
- var script_properties = PropertiesService.getScriptProperties();
- var doc_id = script_properties.getProperty("document_id");
- rearrangement.map(
- function(new_attrib_pair) { // for every comment ID with flipped status
- Drive.Comments.patch('{"status": "'
- + new_attrib_pair[1]
- + '"}', doc_id, new_attrib_pair[0])
- }
- );
- return;
-}
-
-function toggleImageSourceStatus(){
- toggleCommentStatus({images: true});
-}
-
-function flipResolved() {
- // Flip the status of resolved comments to open, and open comments to resolved (respectful = true)
- // I.e. make resolved URL-containing comments visible, without losing track of normal comments' status
-
- // To force all comments' statuses to switch between resolved and open en masse set respectful to false
-
- var switch_settings = {};
- switch_settings.respectful = true;
- switch_settings.images_only = false; // If true, only switch status of comments with an image URL
- switch_settings.switch_deleted_comments = false; // If true, also switch status of deleted comments
-
- var comments_list = getDocComments(
- { images: switch_settings.images_only,
- include_deleted: switch_settings.switch_deleted_comments });
-
- // Note: these parameters are unnecessary if both false (in their absence assumed false)
- // but included for ease of later reuse
-
- if (switch_settings.respectful) {
- // flip between
- } else {
- // flip all based on status of first in list
- }
-}
-
-function markdownPopup() {
- var css_style = '';
-
- // The above was written with js since doesn't work:
- // https://gist.github.com/lmmx/ec084fc351528395f2bb
-
- var mdstring = stringMiddleMan();
-
- var htmlstring =
- ''
- + css_style
- + '';
-
- var html5 = HtmlService.createHtmlOutput(htmlstring)
- .setSandboxMode(HtmlService.SandboxMode.IFRAME)
- .setWidth(800)
- .setHeight(500);
-
- DocumentApp.getUi()
- .showModalDialog(html5, 'Markdown output');
-}
-
-function stringMiddleMan() {
- var returned_string;
- convertSingleDoc({"return_string": true}); // for some reason needs the scope to be already set...
- // could probably rework to use mdstring rather than returned_string, cut out middle man function
- return this.returned_string;
-}
-
-function convertSingleDoc(optional_switches) {
- var script_properties = PropertiesService.getScriptProperties();
- // renew comments list on every export
- var doc_comments = getDocComments();
- var image_urls = getDocComments({images: true}); // NB assumed false - any value will do
- script_properties.setProperty("comments", doc_comments);
- script_properties.setProperty("image_srcs", image_urls);
- var folder_id = script_properties.getProperty("folder_id");
- var document_id = script_properties.getProperty("document_id");
- var source_folder = DriveApp.getFolderById(folder_id);
- var markdown_folders = source_folder.getFoldersByName("Markdown");
-
- var markdown_folder;
- if (markdown_folders.hasNext()) {
- markdown_folder = markdown_folders.next();
- } else {
- // Create a Markdown folder if it doesn't exist.
- markdown_folder = source_folder.createFolder("Markdown")
- }
-
- convertDocumentToMarkdown(DocumentApp.openById(document_id), markdown_folder, optional_switches);
-}
-
-function convertFolder() {
- var script_properties = PropertiesService.getScriptProperties();
- var folder_id = script_properties.getProperty("folder_id");
- var source_folder = DriveApp.getFolderById(folder_id);
- var markdown_folders = source_folder.getFoldersByName("Markdown");
-
-
- var markdown_folder;
- if (markdown_folders.hasNext()) {
- markdown_folder = markdown_folders.next();
- } else {
- // Create a Markdown folder if it doesn't exist.
- markdown_folder = source_folder.createFolder("Markdown");
- }
-
- // Only try to convert google docs files.
- var gdoc_files = source_folder.getFilesByType("application/vnd.google-apps.document");
-
- // For every file in this directory
- while(gdoc_files.hasNext()) {
- var gdoc_file = gdoc_files.next()
-
- var filename = gdoc_file.getName();
- var md_files = markdown_folder.getFilesByName(filename + ".md");
- var update_file = false;
-
- if (md_files.hasNext()) {
- var md_file = md_files.next();
-
- if (md_files.hasNext()){ // There are multiple markdown files; delete and rerun
- update_file = true;
- } else if (md_file.getLastUpdated() < gdoc_file.getLastUpdated()) {
- update_file = true;
- }
- } else {
- // There is no folder and the conversion needs to be rerun
- update_file = true;
- }
-
- if (update_file) {
- convertDocumentToMarkdown(DocumentApp.openById(gdoc_file.getId()), markdown_folder);
- }
- }
-}
-
-function switchHandler(input_switches, potential_switches, optional_storage_name) {
-
- // Firstly, if no input switches were set, make an empty input object
- if (typeof(input_switches) == 'undefined') input_switches = {};
-
- // Use optional storage name if it's defined (must be a string), else use default variable name "switch_settings"
- var property_name = (typeof(optional_storage_name) == 'string') ? optional_storage_name : 'switch_settings';
-
- // Make a blank object to be populated and stored as the script-wide property named after property_name
- var switch_settings = {};
-
- for (var i in potential_switches) {
- var potential_switch = potential_switches[i];
-
- // If each switch has been set (in input_switches), evaluate it, else assume it's switched off (false):
-
- if (input_switches.propertyIsEnumerable(potential_switch)) {
-
- // Evaluates a string representing a statement which sets switch_settings properties from input_switches
- // e.g. "switch_settings.images = true" when input_switches = {images: true}
-
- eval('switch_settings.' + potential_switch + " = " + input_switches[potential_switch]);
-
- } else {
-
- // Alternatively, the evaluated statement sets anything absent from the input_switches object as false
- // e.g. "switch_settings.images = false" when input_switches = {} and potential_switches = ['images']
-
- eval('switch_settings.' + potential_switch + " = false");
- }
- }
-
- PropertiesService.getScriptProperties().setProperty(property_name, switch_settings);
-
- /*
- Looks bad but more sensible than repeatedly checking if arg undefined.
-
- Sets every variable named in the potential_switches array to false if
- it wasn't passed into the input_switches object, otherwise evaluates.
-
- Any arguments not passed in are false, but so are any explicitly passed in as false:
- all parameters are therefore Boolean until otherwise specified.
- */
-
-}
-
-function convertDocumentToMarkdown(document, destination_folder, optional_switches) {
- // if returning a string, force_save_images will make the script continue - experimental
- var possible_switches = ['return_string', 'force_save_images'];
- var property_name = 'conversion_switches';
- switchHandler(optional_switches, possible_switches, property_name);
-
- // TODO switch off image storage if force_save_images is true - not necessary for normal behaviour
- var script_properties = PropertiesService.getScriptProperties();
- var comment_switches = decodeScriptSwitches(property_name);
- eval(comment_switches);
-
- var image_prefix = script_properties.getProperty("image_folder_prefix");
- var numChildren = document.getActiveSection().getNumChildren();
- var text = "";
- var md_filename = document.getName()+".md";
- var image_foldername = document.getName()+"_images";
- var inSrc = false;
- var inClass = false;
- var globalImageCounter = 0;
- var globalListCounters = {};
- // edbacher: added a variable for indent in src block. Let style sheet do margin.
- var srcIndent = "";
-
- var postHasImages = false;
-
- var files = [];
-
- // Walk through all the child elements of the doc.
- for (var i = 0; i < numChildren; i++) {
- var child = document.getActiveSection().getChild(i);
- var result = processParagraph(i, child, inSrc, globalImageCounter, globalListCounters, image_prefix + image_foldername);
- globalImageCounter += (result && result.images) ? result.images.length : 0;
- if (result!==null) {
- if (result.sourceGlossary==="start" && !inSrc) {
- inSrc=true;
- text+="\n";
- } else if (result.sourceGlossary==="end" && inSrc) {
- inSrc=false;
- text+="
\n\n";
- } else if (result.sourceFigCap==="start" && !inSrc) {
- inSrc=true;
- text+="\n";
- } else if (result.sourceFigCap==="end" && inSrc) {
- inSrc=false;
- text+="
\n\n";
- } else if (result.source==="start" && !inSrc) {
- inSrc=true;
- text+="\n";
- } else if (result.source==="end" && inSrc) {
- inSrc=false;
- text+="
\n\n";
- } else if (result.inClass==="start" && !inClass) {
- inClass=true;
- text+="\n";
- } else if (result.inClass==="end" && inClass) {
- inClass=false;
- text+="
\n\n";
- } else if (inClass) {
- text+=result.text+"\n\n";
- } else if (inSrc) {
- text+=(srcIndent+escapeHTML(result.text)+"\n");
- } else if (result.text && result.text.length>0) {
- text+=result.text+"\n\n";
- }
-
- if (result.images && result.images.length>0) {
- for (var j=0; j /g, '>');
-}
-
-function standardQMarks(text) {
- return text.replace(/\u2018|\u8216|\u2019|\u8217/g,"'").replace(/\u201c|\u8220|\u201d|\u8221/g, '"')
-}
-
-// Process each child element (not just paragraphs).
-function processParagraph(index, element, inSrc, imageCounter, listCounters, image_path) {
- // First, check for things that require no processing.
- if (element.getNumChildren()==0) {
- return null;
- }
- // Skip on TOC.
- if (element.getType() === DocumentApp.ElementType.TABLE_OF_CONTENTS) {
- return {"text": "[[TOC]]"};
- }
-
- // Set up for real results.
- var result = {};
- var pOut = "";
- var textElements = [];
- var imagePrefix = "image_";
-
- // Handle Table elements. Pretty simple-minded now, but works for simple tables.
- // Note that Markdown does not process within block-level HTML, so it probably
- // doesn't make sense to add markup within tables.
- if (element.getType() === DocumentApp.ElementType.TABLE) {
- textElements.push("
\n");
- var nCols = element.getChild(0).getNumCells();
- for (var i = 0; i < element.getNumChildren(); i++) {
- textElements.push(" \n");
- // process this row
- for (var j = 0; j < nCols; j++) {
- textElements.push(" " + element.getChild(i).getChild(j).getText() + " \n");
- }
- textElements.push(" \n");
- }
- textElements.push("
\n");
- }
-
- // Process various types (ElementType).
- for (var i = 0; i < element.getNumChildren(); i++) {
- var t = element.getChild(i).getType();
-
- if (t === DocumentApp.ElementType.TABLE_ROW) {
- // do nothing: already handled TABLE_ROW
- } else if (t === DocumentApp.ElementType.TEXT) {
- var txt = element.getChild(i);
- pOut += txt.getText();
- textElements.push(txt);
- } else if (t === DocumentApp.ElementType.INLINE_IMAGE) {
- var imglink = element.getChild(i).getLinkUrl();
- result.images = result.images || [];
- var blob = element.getChild(i).getBlob()
- var contentType = blob.getContentType();
- var extension = "";
- if (/\/png$/.test(contentType)) {
- extension = ".png";
- } else if (/\/gif$/.test(contentType)) {
- extension = ".gif";
- } else if (/\/jpe?g$/.test(contentType)) {
- extension = ".jpg";
- } else {
- throw "Unsupported image type: "+contentType;
- }
-
- var name = imagePrefix + imageCounter + extension;
- blob.setName(name);
-
- imageCounter++;
- if (!return_string || force_save_images) {
- textElements.push('![](' + image_path + '/' + name + ')');
- } else {
- textElements.push('![](' + imglink + ')');
- }
- //result.images.push( {
- // "bytes": blob.getBytes(),
- // "type": contentType,
- // "name": name});
-
- result.images.push({ "blob" : blob } )
-
- } else if (t === DocumentApp.ElementType.PAGE_BREAK) {
- // ignore
- } else if (t === DocumentApp.ElementType.HORIZONTAL_RULE) {
- textElements.push('* * *\n');
- } else if (t === DocumentApp.ElementType.FOOTNOTE) {
- textElements.push(' ('+element.getChild(i).getFootnoteContents().getText()+')');
- } else {
- throw "Paragraph "+index+" of type "+element.getType()+" has an unsupported child: "
- +t+" "+(element.getChild(i)["getText"] ? element.getChild(i).getText():'')+" index="+index;
- }
- }
-
- if (textElements.length==0) {
- // Isn't result empty now?
- return result;
- }
-
- var ind_f = element.getIndentFirstLine();
- var ind_s = element.getIndentStart();
- var ind_e = element.getIndentEnd();
- var i_fse = ['ind_f','ind_s','ind_e'];
- var indents = {};
- for (indt=0;indt 0) indents[indname] = eval(indname);
- // lazy test, null (no indent) is not greater than zero, but becomes set if indent 'undone'
- }
- var inIndent = (Object.keys(indents).length > 0);
-
- // evb: Add glossary and figure caption too. (And abbreviations: gloss and fig-cap.)
- // process source code block:
- if (/^\s*---\s+gloss\s*$/.test(pOut) || /^\s*---\s+source glossary\s*$/.test(pOut)) {
- result.sourceGlossary = "start";
- } else if (/^\s*---\s+fig-cap\s*$/.test(pOut) || /^\s*---\s+source fig-cap\s*$/.test(pOut)) {
- result.sourceFigCap = "start";
- } else if (/^\s*---\s+src\s*$/.test(pOut) || /^\s*---\s+source code\s*$/.test(pOut)) {
- result.source = "start";
- } else if (/^\s*---\s+class\s+([^ ]+)\s*$/.test(pOut)) {
- result.inClass = "start";
- result.className = RegExp.$1.replace(/\./g,' ');
- } else if (/^\s*---\s*$/.test(pOut)) {
- result.source = "end";
- result.sourceGlossary = "end";
- result.sourceFigCap = "end";
- result.inClass = "end";
- } else if (/^\s*---\s+jsperf\s*([^ ]+)\s*$/.test(pOut)) {
- result.text = '';
- } else {
-
- prefix = findPrefix(inSrc, element, listCounters);
-
- var pOut = "";
- for (var i=0; i):
- if (gt === DocumentApp.GlyphType.BULLET
- || gt === DocumentApp.GlyphType.HOLLOW_BULLET
- || gt === DocumentApp.GlyphType.SQUARE_BULLET) {
- prefix += "* ";
- } else {
- // Ordered list ():
- var key = listItem.getListId() + '.' + listItem.getNestingLevel();
- var counter = listCounters[key] || 0;
- counter++;
- listCounters[key] = counter;
- prefix += counter+". ";
- }
- }
- }
- return prefix;
-}
-
-function processTextElement(inSrc, txt) {
- if (typeof(txt) === 'string') {
- return txt;
- }
-
- var pOut = txt.getText();
- if (! txt.getTextAttributeIndices) {
- return pOut;
- }
-
-// Logger.log("Initial String: " + pOut)
-
- // CRC introducing reformatted_txt to let us apply rational formatting that we can actually parse
- var reformatted_txt = txt.copy();
- reformatted_txt.deleteText(0,pOut.length-1);
- reformatted_txt = reformatted_txt.setText(pOut);
-
- var attrs = txt.getTextAttributeIndices();
- var lastOff = pOut.length;
- // We will run through this loop multiple times for the things we care about.
- // Font
- // URL
- // Then for alignment
- // Then for bold
- // Then for italic.
-
- // FONTs
- var lastOff = pOut.length; // loop goes backwards, so this holds
- for (var i=attrs.length-1; i>=0; i--) {
- var off=attrs[i];
- var font=txt.getFontFamily(off)
- if (font) {
- while (i>=1 && txt.getFontFamily(attrs[i-1])==font) {
- // detect fonts that are in multiple pieces because of errors on formatting:
- i-=1;
- off=attrs[i];
- }
- reformatted_txt.setFontFamily(off, lastOff-1, font);
- }
- lastOff=off;
- }
-
- // URL
- // XXX TODO actually convert to URL text here.
- var lastOff=pOut.length;
- for (var i=attrs.length-1; i>=0; i--) {
- var off=attrs[i];
- var url=txt.getLinkUrl(off);
- if (url) {
- while (i>=1 && txt.getLinkUrl(attrs[i-1]) == url) {
- // detect urls that are in multiple pieces because of errors on formatting:
- i-=1;
- off=attrs[i];
- }
- reformatted_txt.setLinkUrl(off, lastOff-1, url);
- }
- lastOff=off;
- }
-
- // alignment
- var lastOff=pOut.length;
- for (var i=attrs.length-1; i>=0; i--) {
- var off=attrs[i];
- var alignment=txt.getTextAlignment(off);
- if (alignment) { //
- while (i>=1 && txt.getTextAlignment(attrs[i-1]) == alignment) {
- i-=1;
- off=attrs[i];
- }
- reformatted_txt.setTextAlignment(off, lastOff-1, alignment);
- }
- lastOff=off;
- }
-
- // strike
- var lastOff=pOut.length;
- for (var i=attrs.length-1; i>=0; i--) {
- var off=attrs[i];
- var strike=txt.isStrikethrough(off);
- if (strike) {
- while (i>=1 && txt.isStrikethrough(attrs[i-1])) {
- i-=1;
- off=attrs[i];
- }
- reformatted_txt.setStrikethrough(off, lastOff-1, strike);
- }
- lastOff=off;
- }
-
- // bold
- var lastOff=pOut.length;
- for (var i=attrs.length-1; i>=0; i--) {
- var off=attrs[i];
- var bold=txt.isBold(off);
- if (bold) {
- while (i>=1 && txt.isBold(attrs[i-1])) {
- i-=1;
- off=attrs[i];
- }
- reformatted_txt.setBold(off, lastOff-1, bold);
- }
- lastOff=off;
- }
-
- // italics
- var lastOff=pOut.length;
- for (var i=attrs.length-1; i>=0; i--) {
- var off=attrs[i];
- var italic=txt.isItalic(off);
- if (italic) {
- while (i>=1 && txt.isItalic(attrs[i-1])) {
- i-=1;
- off=attrs[i];
- }
- reformatted_txt.setItalic(off, lastOff-1, italic);
- }
- lastOff=off;
- }
-
-
- var mOut=""; // Modified out string
- var harmonized_attrs = reformatted_txt.getTextAttributeIndices();
- reformatted_txt.getTextAttributeIndices(); // @lmmx: is this a typo...?
- pOut = reformatted_txt.getText();
-
-
- // Markdown is farily picky about how it will let you intersperse spaces around words and strong/italics chars. This regex (hopefully) clears this up
- // Match any number of \*, followed by spaces/word boundaries against anything that is not the \*, followed by boundaries, spaces and * again.
- // Test case at http://jsfiddle.net/ovqLv0s9/2/
-
- var reAlignStars = /(\*+)(\s*\b)([^\*]+)(\b\s*)(\*+)/g;
-
- var lastOff=pOut.length;
- for (var i=harmonized_attrs.length-1; i>=0; i--) {
- var off=harmonized_attrs[i];
-
- var raw_text = pOut.substring(off, lastOff)
-
- var d1 = ""; // @lmmx: build up a modifier prefix
- var d2 = ""; // @lmmx: ...and suffix
-
- var end_font;
-
- var mark_bold = false;
- var mark_italic = false;
- var mark_code = false;
- var mark_sup = false;
- var mark_sub = false;
- var mark_strike = false;
-
- // The end of the text block is a special case.
- if (lastOff == pOut.length) {
- end_font = reformatted_txt.getFontFamily(lastOff - 1)
- if (end_font) {
- if (!inSrc && end_font===end_font.COURIER_NEW) {
- mark_code = true;
- }
- }
- if (reformatted_txt.isBold(lastOff -1)) {
- mark_bold = true;
- }
- if (reformatted_txt.isItalic(lastOff - 1)) {
- // edbacher: changed this to handle bold italic properly.
- mark_italic = true;
- }
- if (reformatted_txt.isStrikethrough(lastOff - 1)) {
- mark_strike = true;
- }
- if (reformatted_txt.getTextAlignment(lastOff - 1)===DocumentApp.TextAlignment.SUPERSCRIPT) {
- mark_sup = true;
- }
- if (reformatted_txt.getTextAlignment(lastOff - 1)===DocumentApp.TextAlignment.SUBSCRIPT) {
- mark_sub = true;
- }
- } else {
- end_font = reformatted_txt.getFontFamily(lastOff -1 )
- if (end_font) {
- if (!inSrc && end_font===end_font.COURIER_NEW && reformatted_txt.getFontFamily(lastOff) != end_font) {
- mark_code=true;
- }
- }
- if (reformatted_txt.isBold(lastOff - 1) && !reformatted_txt.isBold(lastOff) ) {
- mark_bold=true;
- }
- if (reformatted_txt.isStrikethrough(lastOff - 1) && !reformatted_txt.isStrikethrough(lastOff)) {
- mark_strike=true;
- }
- if (reformatted_txt.isItalic(lastOff - 1) && !reformatted_txt.isItalic(lastOff)) {
- mark_italic=true;
- }
- if (reformatted_txt.getTextAlignment(lastOff - 1)===DocumentApp.TextAlignment.SUPERSCRIPT) {
- if (reformatted_txt.getTextAlignment(lastOff)!==DocumentApp.TextAlignment.SUPERSCRIPT) {
- mark_sup = true;
- }
- }
- if (reformatted_txt.getTextAlignment(lastOff - 1)===DocumentApp.TextAlignment.SUBSCRIPT) {
- if (reformatted_txt.getTextAlignment(lastOff)!==DocumentApp.TextAlignment.SUBSCRIPT) {
- mark_sub = true;
- }
- }
- }
-
- if (mark_code) {
- d2 = '`'; // shouldn't these go last? or will it interfere w/ reAlignStars?
- }
- if (mark_bold) {
- d2 = "**" + d2;
- }
- if (mark_italic) {
- d2 = "*" + d2;
- }
- if (mark_strike) {
- d2 = "