webapp.py

import os
import re
import sys
from typing import List, Tuple

import gradio as gr
from dotenv import load_dotenv
from gradio_log import Log
from ulid import ULID

from cache import r
from constants import language_choices
from helpers import (
    clean_urls,
    compile_answer,
    render_qa_pdfs,
    sanitize_url,
)
from query_data import query_source_documents, run_query
from tools import get_vector_store

sys.settrace(None)

load_dotenv()
db = get_vector_store()


def download_latest_answer(
    questions: List[str], answers: List[str]
) -> Tuple[gr.DownloadButton, gr.DownloadButton]:
    """
    Returns the download buttons for the latest answer as PDF or DOCX.

    Args:
        questions (List[str]): The list of questions.
        answers (List[str]): The list of answers.
    """

    if (len(answers) == 0) or (len(questions) > len(answers)):
        return gr.DownloadButton(visible=False), gr.DownloadButton(visible=False)
    qa_id = answers[-1]

    pdf_download_url, docx_download_url = render_qa_pdfs(qa_id)

    return gr.DownloadButton(
        value=sanitize_url(docx_download_url), visible=True
    ), gr.DownloadButton(value=sanitize_url(pdf_download_url), visible=True)


def climate_chat(
    message,
    history,
    questions,
    answers,
    chat_id,
    rag_filter,
    improve_question,
    do_rerank,
    do_crawl,
    max_search_queries,
    do_add_additional_metadata,
    language,
    initial_generation,
):
    happy_with_answer = True
    getting_feedback = False
    USER_FEEDBACK_QUESTION = """Are you happy with the answer? (y / n=web search)"""
    answer = ""
    number_of_past_questions = 0
    if number_of_past_questions != len(questions):
        getting_feedback = False
        happy_with_answer = True
    if len(history) > 1:
        getting_feedback = history[-2][1] == USER_FEEDBACK_QUESTION
        if getting_feedback:
            if message[0].lower() == "n":
                happy_with_answer = False
                yield None, questions, answers
            elif message[0].lower() == "y":
                happy_with_answer = True
                getting_feedback = False
                yield (
                    "Great! I'm glad I could help. What else would you like to know?",
                    questions,
                    answers,
                )
                number_of_past_questions = len(questions)
                return
            else:
                happy_with_answer = True
                getting_feedback = False
                number_of_past_questions = len(questions)
                yield None, questions, answers

    if getting_feedback:
        message = questions[-1]
    else:
        questions.append(message)
    if rag_filter == "":
        rag_filter = None
    else:
        if bool(re.search(r"@.+:.+", rag_filter)) is False:
            # Turn it into a valid filter
            rag_filter = f"@source:*{rag_filter}*"

    for key, value in run_query(
        message,
        llm="gemini-2.0-flash-exp",
        mode="gui",
        rag_filter=rag_filter,
        improve_question=improve_question,
        language=language,
        do_rerank=do_rerank,
        do_crawl=do_crawl,
        max_search_queries=max_search_queries,
        do_add_additional_metadata=do_add_additional_metadata,
        history=history,
        initial_generation=initial_generation,
        happy_with_answer=happy_with_answer,
        continue_after_interrupt=getting_feedback,
        thread_id=chat_id,
    ):
        if key == "improve_question":
            if improve_question:
                yield (
                    f"""**Improved question:** {value["question"]}"""
                    + (
                        f"""\n**Better question (en):** {value["question_en"]}"""
                        if language != "en"
                        else ""
                    ),
                    questions,
                    answers,
                )
            else:
                yield None, questions, answers
        elif key == "formulate_query":
            yield (
                """**Generated search queries:**\n\n"""
                + "\n".join(
                    [
                        (
                            f" * {query.query} ({query.query_en})"
                            if language != "en"
                            else f" * {query.query_en}"
                        )
                        for query in value["search_prompts"]
                    ]
                ),
                questions,
                answers,
            )

        elif key == "retrieve_from_database":
            yield "**Retrieving documents from database...**", questions, answers
            # yield f"""Search queries: {value["search_prompts"]}

            # Retrieved from database: {[doc.metadata["id"] for doc in value["documents"]]}""", questions
        elif key == "web_search_node":
            yield (
                """**Searching the web for more information...**""",
                questions,
                answers,
            )
            # yield f"""Search query: {value["search_query"]}

            # Search query (en): {value["search_query_en"]}""", questions
        elif key == "add_additional_metadata":
            yield (
                """**Fetching document titles, entities, etc...**""",
                questions,
                answers,
            )
        elif key == "rerank_documents":
            # yield f"""Reranked documents: {[doc.metadata["id"] for doc in value["documents"]]}""", questions
            yield """**Reranking documents...**""", questions, answers

        elif key == "generate":
            answers.append(value["qa_id"])
            answer = compile_answer(
                value["generation"],
                value["initial_question"],
                [doc.metadata.get("source") for doc in value["documents"]],
            )

            yield answer, questions, answers
            # After generation ask for feedback
            yield USER_FEEDBACK_QUESTION, questions, answers
        elif key == "add_urls_to_database":
            yield """**Added new pages to database**""", questions, answers
        # else:
        #     yield str(value), questions, answers


with gr.Blocks(
    theme=gr.themes.Monochrome(),
    title="Climate RAG",
    fill_height=True,
    css="""
# .h-full {
#     height: 85vh;
# }
# .h-20 {
#     height: 20px;
# }
.scroll-y {
 overflow-y: scroll;
}

.tabs {
    top: -30px;
}


.gradio-container {
    padding: 0 !important;
}

.upload-button {
    display: none !important;

}

footer {
    display:none !important
}

""",
) as demo:
    # Define how to store state
    chat_state = gr.State([])
    questions_state = gr.State([])
    answers_state = gr.State([])
    chat_id_state = gr.State("")

    gr.HTML(
        "<div align='center'><img alt='Climate RAG logo' src='data:image/svg+xml;base64,<?xml version="1.0" encoding="UTF-8"?>
<svg width="859.39" height="326.77" version="1.1" viewBox="0 0 858.39 326.39" xml:space="preserve" xmlns="http://www.w3.org/2000/svg"><path d="m283.58 17.056c-7.8452-0.18562-16.099 0.87701-22.174 0.87701h-113.33c0 17.632 4.9457 43.578-14.255 53.186-11.426 5.7169-29.573 2.4083-42.052 2.4083v58.445c0 6.3128-2.3445 18.332 0.42875 24.006 1.1055 2.2608 5.353 2.2554 7.4114 3.3744 3.6735 1.9985 6.6434 5.4639 8.8244 8.9691 9.5465 15.34 18.045 31.413 27.115 47.041 6.4838 11.172 14.339 22.318 19.414 34.212 3.697 8.6648-0.73421 18.39-9.0248 22.538-6.0711 3.037-13.381 2.4083-19.957 2.4083h-34.212c0 10.112-2.2301 23.894 7.1553 30.79 9.8465 7.2343 29.669 3.4217 41.311 3.4217h145.4c8.307 0 16.506-1.479 20.292-9.9784 4.8253-10.833 1.8028-27.529 1.8028-39.201v-30.648c0-4.2658 1.0588-10.216-0.43017-14.255-1.5302-4.1503-6.4942-7.637-9.5482-10.691l-19.244-19.244c-2.7711-2.7711-5.7412-6.9014-9.2656-8.7046-3.146-1.6101-7.1759 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8.0049-2.8983v-17.942h-19.322v-14.492h34.504z" style="font-variation-settings:'wght' 522"/></g><text x="368.21707" y="149.96312" fill="none" font-family="'Josefin Sans'" font-size="138.02px" letter-spacing="0px" stroke-width=".99999" word-spacing="0px" style="font-variant-caps:normal;font-variant-east-asian:normal;font-variant-ligatures:normal;font-variant-numeric:normal;line-height:1.25" xml:space="preserve"><tspan x="368.21707" y="149.96312" style="font-variant-caps:normal;font-variant-east-asian:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variation-settings:'wght' 522">Climate</tspan><tspan x="368.21707" y="323.82968" dy="-49.171059" style="font-variant-caps:normal;font-variant-east-asian:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variation-settings:'wght' 522">RAG</tspan></text></svg>
' style='height: 5em; margin: 1em;'></div>"
    )
    with gr.Tab("Chat"):
        # Add a header
        with gr.Row(elem_classes=["h-full"]):
            with gr.Column(variant="panel"):
                improve_question_checkbox = gr.Checkbox(
                    value=True, label="Auto-improve question?"
                )
                do_initial_generation_checkbox = gr.Checkbox(
                    value=True, label="Generate answer before web search?"
                )
                do_rerank_checkbox = gr.Checkbox(value=True, label="Rerank documents?")
                do_crawl_checkbox = gr.Checkbox(
                    value=False, label="Crawl within search results?"
                )
                do_add_additional_metadata_checkbox = gr.Checkbox(
                    value=True, label="Augment with additional metadata?"
                )
                max_search_queries_textbox = gr.Number(
                    label="Maximum number of search queries to run",
                    value=1,
                    minimum=1,
                    maximum=15,
                )
                language_dropdown = gr.Dropdown(
                    choices=language_choices,
                    label="Language",
                    value="en",
                    allow_custom_value=True,
                    filterable=True,
                )
                rag_filter_textbox = gr.Textbox(
                    placeholder="eg. carbontracker or shell*annual",
                    label="Database filter",
                )
                doc_sources = gr.Dataset(
                    components=[
                        gr.Textbox(visible=False),
                    ],
                    label="Filtered documents",
                    samples_per_page=5,
                    headers=["Source"],
                )

            with gr.Column(scale=4):
                chat_header = gr.Markdown("## Chat", height=100)
                chatbot = gr.Chatbot(
                    elem_id="chatbot",
                    type="tuples",
                    scale=4,
                    show_label=False,
                    latex_delimiters=[
                        {"left": "$$", "right": "$$", "display": True},
                        {"left": "\\[", "right": "\\]", "display": True},
                    ],
                )
                with gr.Row():
                    chat_input = gr.MultimodalTextbox(
                        elem_id="msg-box",
                        interactive=True,
                        placeholder="Ask a question. e.g. What does the Shell 2023 annual report say about climate change?",
                        max_lines=4,
                        file_types=[],
                        show_label=False,
                        scale=6,
                    )
                with gr.Row():
                    stop_button = gr.Button(value="Stop", variant="stop", scale=5)
                    # download_word_button = gr.DownloadButton(
                    #     icon="static/ri--file-word-line.svg",
                    #     label="Download DOCX",
                    #     size="sm",
                    #     scale=1,
                    #     visible=False,
                    # )
                    download_pdf_button = gr.DownloadButton(
                        icon="static/ri--file-pdf-line.svg",
                        label="Download PDF",
                        size="sm",
                        scale=1,
                        visible=False,
                    )
    with gr.Tab(
        "Previous queries", elem_classes=["h-full", "scroll-y"]
    ) as previous_queries_tab:
        with gr.Row():
            query_history_search = gr.Textbox(
                placeholder="Search previous queries", show_label=False
            )
        with gr.Row():
            query_history_display = gr.Dataset(
                components=[
                    gr.Textbox(visible=False),
                    gr.Markdown(
                        visible=False,
                        latex_delimiters=[
                            {"left": "$$", "right": "$$", "display": True},
                            {"left": "\\[", "right": "\\]", "display": True},
                        ],
                    ),
                    gr.Markdown(
                        visible=False,
                        latex_delimiters=[
                            {"left": "$$", "right": "$$", "display": True},
                            {"left": "\\[", "right": "\\]", "display": True},
                        ],
                        elem_classes=["scroll-y", "h-20"],
                    ),
                    gr.HTML(visible=False),
                    gr.HTML(visible=False),
                ],
                label="History",
                headers=["Date", "Question", "Answer", "PDF"],
            )

    with gr.Tab("Documents", elem_classes=["h-full"]):
        with gr.Row():
            gr.Markdown("## Add new documents")
        with gr.Row():
            with gr.Column(scale=1):
                new_file = gr.File(
                    label="Upload documents",
                    file_count="multiple",
                    type="filepath",
                )
            with gr.Column(scale=4):
                url_input = gr.Textbox(placeholder="Enter a URL", show_label=False)
                add_button = gr.Button(value="Add/View")
                selected_source = gr.Markdown(height=200)
        with gr.Row():
            gr.Markdown("## Search through existing documents")
        # Search through documents in the vector database
        with gr.Row():
            search_input = gr.Textbox(
                placeholder='Search documents. eg. carbontracker or @title:"annual report 2022 shell"',
                show_label=False,
            )
            search_button = gr.Button(value="Search", visible=False)
        with gr.Row():
            search_results_display = gr.Dataset(
                components=[
                    gr.Textbox(visible=False),
                    gr.Textbox(visible=False),
                    gr.Textbox(visible=False),
                    gr.Textbox(visible=False),
                    gr.Number(visible=False),
                ],
                label="Documents retrieved",
                headers=[
                    "Title",
                    "Company name",
                    "Source",
                    "Date added",
                    "Page length",
                ],
            )
    with gr.Tab("Console"):
        log_file = "rag.log"
        Log(
            log_file=log_file,
            dark=True,
            tail=1000,
            elem_classes=["h-full"],
            min_width=1000,
        )

    ### Define the logic
    ## Tab 1: Chat

    def user(user_message, history):
        if (len(user_message["text"]) > 10) or (user_message["text"]) in ["y", "n"]:
            return (
                {"text": "", "files": []},
                history + [[user_message["text"], None]],
                history + [[user_message["text"], None]],
            )
        else:
            return (
                {"text": user_message["text"], "files": []},
                history,
                history,
            )

    def bot(
        chat_history,
        questions,
        answers,
        chat_id,
        rag_filter,
        improve_question,
        do_rerank,
        do_crawl,
        max_search_queries,
        do_add_additional_metadata,
        language,
        initial_generation,
    ):
        if len(chat_history) == 0:
            chat_history.append(
                [
                    None,
                    "Hello! I'm here to help you with climate-related questions. What would you like to know?",
                ]
            )
            return chat_history, chat_history, questions, None
        message = chat_history[-1][0]
        chat_id = chat_id or str(ULID())
        bot_messages = climate_chat(
            message=message,
            history=chat_history,
            questions=questions,
            answers=answers,
            chat_id=chat_id,
            rag_filter=rag_filter,
            improve_question=improve_question,
            do_rerank=do_rerank,
            do_crawl=do_crawl,
            max_search_queries=max_search_queries,
            do_add_additional_metadata=do_add_additional_metadata,
            language=language,
            initial_generation=initial_generation,
        )
        for bot_message, questions, answers in bot_messages:
            chat_history.append([None, bot_message])
            yield (
                chat_history,
                chat_history,
                questions,
                answers,
                chat_id,
                download_latest_answer(questions, answers)[1],
                f"## Chat\n### {questions[-1]}",
            )

    converse_event = chat_input.submit(
        fn=user,
        inputs=[chat_input, chat_state],
        outputs=[chat_input, chatbot, chat_state],
        queue=False,
    ).then(
        bot,
        [
            chatbot,
            questions_state,
            answers_state,
            chat_id_state,
            rag_filter_textbox,
            improve_question_checkbox,
            do_rerank_checkbox,
            do_crawl_checkbox,
            max_search_queries_textbox,
            do_add_additional_metadata_checkbox,
            language_dropdown,
            do_initial_generation_checkbox,
        ],
        [
            chatbot,
            chat_state,
            questions_state,
            answers_state,
            chat_id_state,
            # download_word_button,
            download_pdf_button,
            chat_header,
        ],
    )

    def stop_querying(questions):
        # Remove the last question
        if len(questions) > 0:
            questions.pop()
        return questions, "## Chat"

    stop_button.click(
        fn=stop_querying,
        inputs=[questions_state],
        outputs=[questions_state, chat_header],
        cancels=[converse_event],
        queue=False,
    )

    def filter_documents(search_query):
        from query_data import query_source_documents

        if search_query is None:
            search_query = ""
        if len(search_query) < 2:
            return gr.Dataset(samples=[])
        if bool(re.search(r"@.+:.+", search_query)) is False:
            # Turn into a search query if not a ft.search-style query
            search_query = f"@source:*{search_query}*"

        search_results = query_source_documents(
            db, search_query, print_output=False, fields=["source"], limit=30
        )[["source"]].iloc[:30]
        search_results["source"] = clean_urls(search_results["source"].tolist())
        # Remove static path to simplify display
        search_results["source"] = search_results["source"].apply(
            lambda x: (
                ("🗎 " + x.split("/")[-1])
                if os.environ.get("STATIC_PATH", "") in str(x)
                else x
            )
        )

        return gr.Dataset(samples=search_results.to_numpy().tolist())

    rag_filter_textbox.change(
        fn=lambda x: filter_documents(x),
        inputs=[rag_filter_textbox],
        outputs=[doc_sources],
        queue=False,
    )

    ## Tab 2: Query history
    def get_query_history(query_filter):
        from helpers import get_previous_queries

        if (query_filter is None) or (query_filter == ""):
            query_filter = "*"

        # Get dataframe of previous queries
        df = get_previous_queries(r, query_filter=query_filter, limit=100).set_index(
            "qa_id"
        )[["date_added_ts", "question", "answer", "pdf_uri"]]
        df.question = (
            '<a target="_blank" href="/answers/'
            + df.index
            + '/html" >'
            + df.question
            + "</a>"
        )
        # Deal with missing PDF and DOCX URIs
        missing_pdfs = df.loc[lambda df: df.isnull().any(axis=1)].index.tolist()
        for qa_id in missing_pdfs:
            df.loc[qa_id, "pdf_uri"] = render_qa_pdfs(qa_id)[0]
        # Sanitize URLs
        df.pdf_uri = df.pdf_uri.apply(sanitize_url)
        # df.docx_uri = df.docx_uri.apply(sanitize_url)

        df.pdf_uri = (
            "<a target='_blank' href='"
            + df.pdf_uri.astype(str).fillna("")
            + "'><img src='data:image/svg+xml;base64,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' alt='PDF'></img></a>"
        )
        # df.docx_uri = (
        #     "<a target='_blank' href='"
        #     + df.docx_uri.astype(str).fillna("")
        #     + "'><img src='data:image/svg+xml;base64,PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0iVVRGLTgiPz4KPHN2ZyB3aWR0aD0iMjQiIGhlaWdodD0iMjQiIHZlcnNpb249IjEuMSIgdmlld0JveD0iMCAwIDI0IDI0IiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPgogPHBhdGggZD0iTTE2IDh2OGgtMmwtMi0ybC0yIDJIOFY4aDJ2NWwyLTJsMiAyVjhoMVY0SDV2MTZoMTRWOHpNMyAyLjk5MkMzIDIuNDQ0IDMuNDQ3IDIgMy45OTkgMkgxNmw1IDV2MTMuOTkzQTEgMSAwIDAgMSAyMC4wMDcgMjJIMy45OTNBMSAxIDAgMCAxIDMgMjEuMDA4eiIgZmlsbD0iI2ZmZiIgc3Ryb2tlPSIjMDAwIiBzdHJva2Utd2lkdGg9Ii4yIi8+Cjwvc3ZnPg==' alt='DOCX'></img></a>"
        # )

        return gr.Dataset(samples=df.to_numpy().tolist())

    previous_queries_tab.select(
        get_query_history,
        inputs=[query_history_search],
        outputs=[query_history_display],
        queue=False,
    )
    query_history_search.change(
        fn=lambda x: get_query_history(x),
        inputs=[query_history_search],
        outputs=[query_history_display],
        queue=False,
    )

    ## Tab 3: Documents
    # Search documents
    def search_documents(search_query):
        from query_data import query_source_documents

        if search_query is None:
            search_query = ""
        if len(search_query) < 2:
            return gr.Dataset(samples=[])
        if bool(re.search(r"@.+:.+", search_query)) is False:
            # Add asterisks to search query if not a ft.search-style query
            search_query = f"@source:*{search_query}*"

        search_results = query_source_documents(
            db,
            search_query,
            print_output=False,
            fields=[
                "title",
                "company_name",
                "source",
                "date_added",
                "page_length",
            ],
            limit=100,
        )[
            [
                "title",
                "company_name",
                "source",
                "date_added",
                "page_length",
            ]
        ]
        return gr.Dataset(samples=search_results.to_numpy().tolist())

    search_input.change(
        fn=search_documents,
        inputs=[search_input],
        outputs=[search_results_display],
        queue=False,
    )
    search_button.click(
        fn=search_documents,
        inputs=[search_input],
        outputs=[search_results_display],
        queue=False,
    )

    # Add new documents
    def add_document(url):
        from tools import add_urls_to_db

        add_urls_to_db([url], db)

        # Retrieve source markdown
        page_content = query_source_documents(
            db, f'@source:"{url}"', print_output=False, fields=["page_content"]
        )["page_content"]
        if len(page_content) > 0:
            page_content = page_content.iloc[0]
        else:
            page_content = f"Error loading document: {url}. See console for details."
        return page_content

    add_button.click(
        fn=add_document,
        inputs=[url_input],
        outputs=[selected_source],
        queue=False,
    )
    url_input.submit(
        fn=add_document,
        inputs=[url_input],
        outputs=[selected_source],
        queue=False,
    )

    # Upload new document
    from tools import upload_documents

    new_file.upload(
        fn=lambda x: upload_documents(x, db)[-1].metadata[
            "source"
        ],  # Return the last document added only
        inputs=[new_file],
        outputs=[search_input],
        queue=False,
    ).then(
        search_documents,
        [search_input],
        [search_results_display],
    ).then(
        lambda: None,
        inputs=None,
        outputs=[new_file],
        queue=False,
    )


demo.queue(default_concurrency_limit=None)
if __name__ == "__main__":
    demo.launch(inbrowser=False, show_api=False, max_threads=80)