| Name | gpp-client JSON |
| Version |
25.7.8
JSON |
| download |
| home_page | None |
| Summary | Gemini Program Platform client. |
| upload_time | 2025-07-21 23:16:44 |
| maintainer | None |
| docs_url | None |
| author | NOIRLab |
| requires_python | >=3.10.0 |
| license | Copyright (c) 2025 Association of Universities for Research in Astronomy, Inc. (AURA)
All rights reserved.
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3) The names of AURA and its representatives may not be used to endorse or
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THIS SOFTWARE IS PROVIDED BY AURA "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
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|
| keywords |
gemini
gpp
client
program
platform
|
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# GPP Client
[](https://github.com/gemini-hlsw/gpp-client/actions/workflows/run_tests.yaml)
---
_Pain-free python/CLI communication with the Gemini Program Platform (GPP)._
**Documentation**: <a href="https://gpp-client.readthedocs.io/en/latest/" target="_blank">https://gpp-client.readthedocs.io/en/latest/</a>
**Source Code**: <a href="https://github.com/gemini-hlsw/gpp-client" target="_blank">https://github.com/gemini-hlsw/gpp-client</a>
---
Python client and CLI for the GPP. Key features:
- **Type‑safe GraphQL**
- Pydantic models from the GPP GraphQL schema, so every query, mutation, and input type is validated.
- **Resource Managers**
- High‑level `Manager` classes (e.g. `GPPClient.program`, `GPPClient.observation`) with convenient `get_by_id`, `get_all`, `create`, `update_by_id`, `delete_by_id`, `restore_by_id` and more methods, no need to write raw GraphQL.
- **Flexible payloads**
- Create or update via in‑memory Pydantic inputs **or** `from_json` files.
- **`gpp` CLI**
- Full CRUD surface on the command line: `gpp <resource> list|get|create|update|delete`, with rich table output and JSON export options.
### Requirements
- `python>=3.10`
- `toml`
- `typer`
- `ariadne-codegen`
## Development Status
🚧 Alpha: the library is under heavy development. The public API and CLI flags may change between releases.
## Installation
```bash
pip install gpp-client
```
## Quickstart
```python
from gpp_client import GPPClient
# Initialize with your GraphQL endpoint and credentials.
client = GPPClient(url="YOUR_URL", token="YOUR_TOKEN")
# List the first 5 program notes.
notes = await client.program_note.get_all(limit=5)
for note in notes["matches"]:
print(f"{note['id']}: {note['title']}")
# Create a new note from a JSON file.
new_note = await client.program_note.create(
from_json="path/to/program_note_payload.json",
program_id="p-123"
)
print("Created:", new_note)
# Or create a note from the pydantic model.
from gpp_client.api.enums import Existence
from gpp_client.api.input_types import ProgramNotePropertiesInput
properties = ProgramNotePropertiesInput(
title="Example",
text="This is an example.",
is_private=False,
existence=Existence.PRESENT
)
another_note = await client.program_note.create(properties=properties, program_id="p-123")
print("Created another:", another_note)
```
## As a CLI
```bash
# Get help.
gpp --help
# Get observation help.
gpp obs --help
# List observations.
gpp obs list --limit 3
# Get details for one.
gpp obs get o-123
# Create via JSON.
gpp obs create --from-json new_obs.json --program-id p-123
# Update by ID via JSON.
gpp obs update --observation-id o-123 --from-json updated_obs.json
```
## Reporting Bugs and Feature Requests
**Jira**: https://noirlab.atlassian.net/jira/software/projects/GPC/boards/162
**NOIRLab Slack channel**: `#gpp-client`
While in heavy development, please file requests or report bugs via our Jira board or Slack channel.
# Developer Notes
To update the GPP GraphQL schema and generate client code, run the scripts from the project’s top-level directory located in `scripts/`.
This project uses [uv](https://github.com/astral-sh/uv) to manage dependencies and execute scripts.
When using `uv run`, a temporary virtual environment is created with only the dependencies required to run the script, based on the groups defined in `pyproject.toml`.
There’s no need to manually create or activate a virtual environment, `uv` handles everything.
## Set Up `pre-commit`
To install `pre-commit` using `uv`, run:
```bash
uv tool install pre-commit --with pre-commit-uv
```
You may be prompted to add `.local/bin` to your `PATH`, `uv` installs tools there by default.
Next, install the hooks defined in `.pre-commit-config.yaml`:
```bash
pre-commit install
```
Once installed, `pre-commit` will automatically run the configured hooks each time you make a commit. This helps catch formatting issues, docstring violations, and other problems before code is committed.
To manually run all `pre-commit` hooks on the entire codebase:
```bash
pre-commit run --all-files
```
## Download the Schema
This script downloads the latest GPP GraphQL schema to `schema.graphql`. You must have `GPP_URL` and `GPP_TOKEN` env variables set for downloading to work.
```bash
uv run --group schema python scripts/download_schema.py
```
## Run Codegen
This script regenerates the client code based on the updated schema.
```bash
uv run --group codegen python scripts/run_codegen.py
```
## Creating and Deploying a Release
Releases are managed using GitHub Actions. When you’re ready to publish a new version of the package, use the **Create Release** workflow.
1. Go to the **Actions** tab on GitHub.
2. Select the **Create Release** workflow from the sidebar.
3. Click **Run workflow**.
4. Enter the release version (e.g., `25.6.0`).
**Note:** Do **not** include a leading `v` or unnecessary zero padding.
5. Click **Run workflow** to trigger the release.
This workflow performs the following steps:
- Updates the `version` field in `pyproject.toml`.
- Updates the `uv.lock` file to reflect the new version.
- Commits and pushes the changes to the repository.
- Creates a Git tag.
- Drafts a GitHub release.
### Finalizing the Release
After the workflow completes:
1. Go to the **Releases** section on GitHub.
2. Locate the newly created **draft release**.
3. Click **Publish release**.
Once published, the package will be automatically uploaded to [PyPI](https://pypi.org/project/gpp-client/). It may take a few minutes for the release to appear.
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"description": "# GPP Client\n\n[](https://github.com/gemini-hlsw/gpp-client/actions/workflows/run_tests.yaml)\n\n\n---\n\n_Pain-free python/CLI communication with the Gemini Program Platform (GPP)._\n\n**Documentation**: <a href=\"https://gpp-client.readthedocs.io/en/latest/\" target=\"_blank\">https://gpp-client.readthedocs.io/en/latest/</a>\n\n**Source Code**: <a href=\"https://github.com/gemini-hlsw/gpp-client\" target=\"_blank\">https://github.com/gemini-hlsw/gpp-client</a>\n\n---\n\nPython client and CLI for the GPP. Key features:\n\n- **Type\u2011safe GraphQL**\n - Pydantic models from the GPP GraphQL schema, so every query, mutation, and input type is validated.\n- **Resource Managers**\n - High\u2011level `Manager` classes (e.g. `GPPClient.program`, `GPPClient.observation`) with convenient `get_by_id`, `get_all`, `create`, `update_by_id`, `delete_by_id`, `restore_by_id` and more methods, no need to write raw GraphQL.\n- **Flexible payloads**\n - Create or update via in\u2011memory Pydantic inputs **or** `from_json` files.\n- **`gpp` CLI**\n - Full CRUD surface on the command line: `gpp <resource> list|get|create|update|delete`, with rich table output and JSON export options.\n\n### Requirements\n\n- `python>=3.10`\n- `toml`\n- `typer`\n- `ariadne-codegen`\n\n## Development Status\n\n\ud83d\udea7 Alpha: the library is under heavy development. The public API and CLI flags may change between releases.\n\n## Installation\n\n```bash\npip install gpp-client\n```\n\n## Quickstart\n\n```python\nfrom gpp_client import GPPClient\n\n# Initialize with your GraphQL endpoint and credentials.\nclient = GPPClient(url=\"YOUR_URL\", token=\"YOUR_TOKEN\")\n\n# List the first 5 program notes.\nnotes = await client.program_note.get_all(limit=5)\nfor note in notes[\"matches\"]:\n print(f\"{note['id']}: {note['title']}\")\n\n# Create a new note from a JSON file.\nnew_note = await client.program_note.create(\n from_json=\"path/to/program_note_payload.json\",\n program_id=\"p-123\"\n)\nprint(\"Created:\", new_note)\n\n# Or create a note from the pydantic model.\nfrom gpp_client.api.enums import Existence\nfrom gpp_client.api.input_types import ProgramNotePropertiesInput\n\nproperties = ProgramNotePropertiesInput(\n title=\"Example\",\n text=\"This is an example.\",\n is_private=False,\n existence=Existence.PRESENT\n)\nanother_note = await client.program_note.create(properties=properties, program_id=\"p-123\")\n\nprint(\"Created another:\", another_note)\n```\n\n## As a CLI\n\n```bash\n# Get help.\ngpp --help\n\n# Get observation help.\ngpp obs --help\n\n# List observations.\ngpp obs list --limit 3\n\n# Get details for one.\ngpp obs get o-123\n\n# Create via JSON.\ngpp obs create --from-json new_obs.json --program-id p-123\n\n# Update by ID via JSON.\ngpp obs update --observation-id o-123 --from-json updated_obs.json\n```\n\n## Reporting Bugs and Feature Requests\n\n**Jira**: https://noirlab.atlassian.net/jira/software/projects/GPC/boards/162\n\n**NOIRLab Slack channel**: `#gpp-client`\n\nWhile in heavy development, please file requests or report bugs via our Jira board or Slack channel.\n\n# Developer Notes\n\nTo update the GPP GraphQL schema and generate client code, run the scripts from the project\u2019s top-level directory located in `scripts/`.\n\nThis project uses [uv](https://github.com/astral-sh/uv) to manage dependencies and execute scripts.\n\nWhen using `uv run`, a temporary virtual environment is created with only the dependencies required to run the script, based on the groups defined in `pyproject.toml`.\n\nThere\u2019s no need to manually create or activate a virtual environment, `uv` handles everything.\n\n## Set Up `pre-commit`\n\nTo install `pre-commit` using `uv`, run:\n\n```bash\nuv tool install pre-commit --with pre-commit-uv\n```\n\nYou may be prompted to add `.local/bin` to your `PATH`, `uv` installs tools there by default.\n\nNext, install the hooks defined in `.pre-commit-config.yaml`:\n\n```bash\npre-commit install\n```\n\nOnce installed, `pre-commit` will automatically run the configured hooks each time you make a commit. This helps catch formatting issues, docstring violations, and other problems before code is committed.\n\nTo manually run all `pre-commit` hooks on the entire codebase:\n\n```bash\npre-commit run --all-files\n```\n\n## Download the Schema\n\nThis script downloads the latest GPP GraphQL schema to `schema.graphql`. You must have `GPP_URL` and `GPP_TOKEN` env variables set for downloading to work.\n\n```bash\nuv run --group schema python scripts/download_schema.py\n```\n\n## Run Codegen\n\nThis script regenerates the client code based on the updated schema.\n\n```bash\nuv run --group codegen python scripts/run_codegen.py\n```\n\n## Creating and Deploying a Release\n\nReleases are managed using GitHub Actions. When you\u2019re ready to publish a new version of the package, use the **Create Release** workflow.\n\n1. Go to the **Actions** tab on GitHub.\n2. Select the **Create Release** workflow from the sidebar.\n3. Click **Run workflow**.\n4. Enter the release version (e.g., `25.6.0`).\n **Note:** Do **not** include a leading `v` or unnecessary zero padding.\n5. Click **Run workflow** to trigger the release.\n\nThis workflow performs the following steps:\n\n- Updates the `version` field in `pyproject.toml`.\n- Updates the `uv.lock` file to reflect the new version.\n- Commits and pushes the changes to the repository.\n- Creates a Git tag.\n- Drafts a GitHub release.\n\n### Finalizing the Release\n\nAfter the workflow completes:\n\n1. Go to the **Releases** section on GitHub.\n2. Locate the newly created **draft release**.\n3. Click **Publish release**.\n\nOnce published, the package will be automatically uploaded to [PyPI](https://pypi.org/project/gpp-client/). It may take a few minutes for the release to appear.\n",
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