init

.gitignore

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+# Created by https://www.toptal.com/developers/gitignore/api/python
+# Edit at https://www.toptal.com/developers/gitignore?templates=python
+
+### Python ###
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+### Python Patch ###
+# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
+poetry.toml
+
+# ruff
+.ruff_cache/
+
+# LSP config files
+pyrightconfig.json
+
+# End of https://www.toptal.com/developers/gitignore/api/python

README.md

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+# OpenAI Billing Analysis
+
+Command line tool to provide per key $ usage of OpenAI API keys on daily and
+monthly level.
+
+> [!NOTE]
+> Open AI's dashboard will have this feature directly in some time. In
+> that case, we will archive this repository and use the dashboard itself.
+
+For using, download JSON billing data from the activity tab of [the usage
+dashboard](https://platform.openai.com/usage) and run the following:
+
+```shell
+# Assuming you have installed the package
+openai_billing_analysis activity-2024-02-01-2024-03-01.json --date=2024-02-13
+```

openai_billing_analysis/cli.py

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+"""
+Usage:
+  openai_billing_analysis <activity-export> [--date=<date>]
+
+Arguments:
+  <activity-export>   JSON export file for Open AI monthly activity. Download
+                      from activity tab here https://platform.openai.com/usage
+
+Options:
+  --date=<date>       Date to analyze in yyyy-MM-dd format. Defaults to today.
+"""
+
+import datetime
+import json
+import warnings
+
+from docopt import docopt
+from gpt_cost_estimator import CostEstimator
+from pydash import py_
+from tabulate import tabulate
+
+# NOTE: Using https://github.com/michaelachmann/gpt-cost-estimator/ with some
+#       changes as of 13th Feb 2024
+PRICES = {
+    **CostEstimator.PRICES,
+    "gpt-3.5-turbo-0125": {"input": 0.0005, "output": 0.0015},
+    "gpt-4-0125-preview": {"input": 0.01, "output": 0.03}
+}
+
+
+def activity_cost(activity: dict) -> float:
+    if activity["usage_type"] != "text":
+        raise ValueError(f"Unsupported usage type {activity['usage_type']}.")
+
+    price = PRICES[activity["model"]]
+
+    return (price["input"] * activity["n_context_tokens_total"] / 1000) + \
+        (price["output"] * activity["n_generated_tokens_total"] / 1000)
+
+
+def activity_date(activity: dict) ->  datetime.date:
+    tz = datetime.datetime.now().astimezone().tzinfo
+
+    return datetime.datetime.fromtimestamp(activity["timestamp"], tz=tz).date()
+
+
+def print_breakdown(data: list[dict]):
+    table = []
+
+    def _group_fn(activity) -> str:
+        return activity["api_key_name"] or activity["user"]
+
+    for name, group in py_.group_by(data, _group_fn).items():
+        table.append([name, sum([activity_cost(activity) for activity in group])])
+
+    table = sorted(table, key=lambda it: it[1], reverse=True)
+
+    print(tabulate(table, headers=["Key / User", "$"], tablefmt="fancy_grid"))
+
+
+def main():
+    args = docopt(__doc__)
+
+    with open(args["<activity-export>"]) as fp:
+        data = json.load(fp)["data"]
+
+    warnings.warn("Please ensure that the data dump is freshly downloaded")
+    print()
+
+    total_cost = sum([activity_cost(activity) for activity in data])
+    print(f":: Total cost ${total_cost}")
+    print(":: Monthly breakdown")
+    print_breakdown(data)
+
+    print("\n")
+
+    if args["--date"]:
+        asked_date = datetime.datetime.strptime(args["--date"], "%Y-%m-%d").date()
+    else:
+        asked_date = datetime.datetime.now().date()
+
+    daily_data = [activity for activity in data if activity_date(activity) == asked_date]
+
+    daily_cost = sum([activity_cost(activity) for activity in daily_data])
+    print(f":: Day's ({asked_date} your tz) cost ${daily_cost}")
+
+    print(f":: Daily breakdown")
+    print_breakdown(daily_data)