A flexible API gateway that allows you to proxy requests to multiple remote APIs and Databases
Project description
API Dock
API Dock is a flexible API gateway that allows you to proxy requests to multiple remote APIs and Databases through a single endpoint. Using API doc's CLI, the proxy can easily be launched as a FastAPI or Flask app, or integrated into any existing python based API.
Table of Contents
- Features
- Install
- Quick Example
- CLI
- Configuration and Syntax
- Cookies and Authentication
- Using RouteMapper in Your Own Projects
- Advanced Configuration Examples
- Requirements
- License
Install
FROM PYPI
pip install api_dock
FROM CONDA
conda install -c conda-forge api_dock
Quick Example
Configuration consists of a global config (api_dock_config/config.yaml), as well as a config file for each remote-api or database you'd like to proxy.
Here is a simple example of a configuration serving a single remote-api and database:
# api_dock_config/config.yaml
name: "My API Dock"
description: "API proxy for multiple services"
authors: ["Your Name"]
# Remote APIs to proxy
remotes:
- "service1"
# SQL databases to query
databases:
- "db_example"
# api_dock_config/remotes/service1/0.5.0.yaml
name: service1
description: "Service1 [Version 0.5.0]"
url: https://existing_api_url.com
# api_dock_config/databases/db_example/0.1.0.yaml
name: db_example
description: "Example DB Version 0.1"
authors:
- "API Team"
tables:
users:
uri: s3://path/to/users-database/folder/**/*.parquet
region: us-west-2
routes:
- route: /users
sql: SELECT [[users]].* FROM [[users]]
- route: /users/{{user_id}}
sql: SELECT [[users]].* FROM [[users]] WHERE [[users]].user_id = {{user_id}}
This will create an "api-dock" with the following endpoints
- `/service1/0.5.0/*`: maps directly onto `https://existing_api_url.com/*`
- `/db_example/0.1.0/users`: queries all users in the "users-database"
- `/db_example/0.1.0/users/{user_id}`: queries all users in the "users-database" with `user.user_id = user_id`
Note: the filename is being used for versioning. An endpoint with "latest" is also generated that will numerically order versions by name and serve the most recent version. For example,
/service1/0.5.0 uses the config in /service1/0.5.0.yaml and /service1/latest will use the most recent version in the /service1 folder.
These basic configurations can be expanded to include a number of use cases: restricting routes/methods, custom mapping of remote-api routes, accepting query parameters to filter data, limiting and sorting results, authentication, and accessing data stored in cookies.
CLI
Commands
API Dock provides a modern Click-based CLI:
- pixi run api-dock (default): List all available configurations
- pixi run api-dock init [--force]: Initialize
api_dock_config/directory with default configs - pixi run api-dock start [config_name]: Start API Dock server with optional config name
- pixi run api-dock describe [config_name]: Display formatted configuration with expanded SQL queries
Note: All commands shown use pixi run for the pixi environment. If not using pixi, drop the pixi run prefix (e.g., api-dock start instead of pixi run api-dock start).
Examples
# Initialize local configuration directory
pixi run api-dock init
# List available configurations, and available commands
pixi run api-dock
# Start API server
# - default configuration (api_dock_config/config.yaml) with FastAPI
pixi run api-dock start
# - default configuration with Flask (backbone options: fastapi (default) or flask)
pixi run api-dock start --backbone flask
# - specify with host and/or port
pixi run api-dock start --host 0.0.0.0 --port 9000
# these commands also work for alternative configurations (example: api_dock_config/config_v2.yaml)
pixi run api-dock start config_v2
pixi run api-dock describe config_v2
For more details, see the Configuration Wiki.
CONFIGURATION AND SYNTAX
Assume our file structure is:
api_dock_config
├── config.yaml
├── config_v2.yaml
├── databases
│ ├── analytics_db.yaml
│ └── versioned_db
│ ├── 0.1.yaml
│ ├── 0.5.yaml
│ └── 1.1.yaml
└── remotes
├── service1.yaml
├── service2.yaml
└── versioned_service
├── 0.1.yaml
├── 0.2.yaml
└── 0.3.yaml
Main Configuration (api_dock_config/config.yaml)
The main configuration files are stored in the top level of the CWD's api_dock_config/ directory. By default api-dock expects there to be one called config.yaml, however configs with different names (such as config_v2) can be added and launched as shown in the CLI Examples section.
# api_dock_config/config.yaml
name: "My API Dock"
description: "API proxy for multiple services"
authors: ["Your Name"]
# Remote APIs to proxy
remotes:
- "service1" # add configuration in "api_dock_config/remotes/service1.yaml"
- "service2" # add configuration in "api_dock_config/remotes/service2.yaml"
- "versioned_service" # add configurations in versions in "api_dock_config/remotes/versioned_service/"
# SQL databases to query
databases:
- "analytics_db" # adds database configuration in "api_dock_config/databases/analytics_db.yaml"
- "versioned_db" # adds database configurations in "api_dock_config/databases/versioned_db/"
# Optional HTTP behavior settings
settings:
add_trailing_slash: true # Auto-add trailing slash to paths (default: true)
follow_protocol_downgrades: false # Allow HTTPS->HTTP redirects (default: false)
Settings
The optional settings section controls HTTP behavior:
-
add_trailing_slash(default:true): Automatically append a trailing slash to all proxied paths. This prevents 307/301 redirects from remote APIs that require trailing slashes (e.g.,/projects→/projects/). Set tofalseto disable this behavior. -
follow_protocol_downgrades(default:false): Control how HTTP redirects are handled. Whenfalse(recommended), HTTPS→HTTP redirects are blocked for security. Whentrue, allows following redirects that downgrade from HTTPS to HTTP (not recommended for production).
Example:
settings:
add_trailing_slash: true # Avoids redirects by adding trailing slash
follow_protocol_downgrades: false # Blocks insecure HTTPS->HTTP redirects
Remote Configurations
The example below is a remote configuration.
# api_dock_config/remotes/service1.yaml
name: service1 # this is the slug that goes in the url (ie: /service1/users)
url: http://api.example.com # the base-url of the api being proxied
description: This is an api # included in response for /service1 route
# Here is where we define the routing
routes:
# routes with identical signatures
- health # GET http://api.example.com/health
- route: users # GET http://api.example.com/users (using explicit method)
method: get
- users/{{user_id}} # GET http://api.example.com/users/{{user_id}}
- route: users/{{user_id}}/posts # POST http://api.example.com/users/{{user_id}}/posts
method: post
# route with a different signature
- route: users/{{user_id}}/permissions # GET http://api.example.com/user-permissions/{{user_id}}
remote_route: user-permissions/{{user_id}}
method: get
Variable Placeholders
Routes use double curly braces {{}} for variable placeholders:
users- Matches exactly "users"users/{{user_id}}- Matches "users/123", "users/abc", etc.users/{{user_id}}/profile- Matches "users/123/profile"{{}}- Anonymous variable (matches any single path segment)
String Routes (Simple GET Routes)
routes:
- users # GET /users
- users/{{user_id}} # GET /users/123
- users/{{user_id}}/profile # GET /users/123/profile
- posts/{{post_id}} # GET /posts/456
Dictionary Routes (Custom Methods and Mappings)
routes:
# A simple GET (note this is the same as passing the string 'users/{{user_id}}')
- route: users/{{user_id}}
method: get
# Different HTTP method
- route: users/{{user_id}}
method: post # POST /users/123
# Custom remote mapping
- route: users/{{user_id}}/permissions
remote_route: user-permissions/{{user_id}}
method: get # Maps local route to different remote endpoint
# Complex mapping with multiple variables
- route: search/{{category}}/{{term}}/after/{{date}}
remote_route: api/v2/search/{{term}}/in/{{category}}?after={{date}}
method: get
Route Restrictions
You can restrict access to specific routes using the restricted section. Restrictions support wildcards and method-specific filtering:
name: restricted_config
...
routes:
...
# Simple route restrictions (string format)
restricted:
- admin/{{}} # Block all admin routes (single segment wildcard)
- users/{{user_id}}/private # Block private user data
- system/* # Block all routes starting with system/ (prefix wildcard)
# Method-aware restrictions (dict format)
restricted:
- route: "*"
method: delete # Block all DELETE requests
- route: "stuff/*"
method: delete # Block DELETE to any route starting with stuff/
- route: "users/{{user_id}}"
method: patch # Block PATCH requests to user routes
Wildcard Patterns:
{{}}or*- Matches any single path segment (e.g.,users/{{}}matchesusers/123)prefix/*- Matches all routes starting with prefix/ (e.g.,admin/*matchesadmin/dashboard,admin/users/123, etc.)*- When used alone (string format), matches any single-segment route{route: "*", method: "X"}- When used with a method (dict format), matches ALL routes regardless of path length
Method-Specific Restrictions:
- Use dict format with
routeandmethodfields to restrict specific HTTP methods - When
{route: "*", method: "X"}is used, it blocks the specified method on ALL routes - Omit
methodfield to restrict all methods for a route - Methods are case-insensitive (DELETE, delete, Delete all work)
For more details, see the Routing and Restrictions Wiki.
SQL Database Support
API Dock can also be used to query Databases. For now only parquet support is working but we will be adding other Databases in the future.
Database Configuration
Database configurations are stored in config/databases/ directory. Each database defines:
- tables: Mapping of table names to file paths (supports S3, GCS, HTTPS, local paths)
- queries: Named SQL queries for reuse
- routes: REST endpoints mapped to SQL queries
Syntax
As with the remote-apis, the routes to databases use double-curly-brackets {{}} to reference url variable placeholders. Additionally for SQL there are double-square-brackets [[]]. These are used to reference other items in the database config, namely: table_names, named-queries.
Table References: [[table_name]]
Use double square brackets to reference tables defined in the tables section. If we have
tables:
users: s3://your-bucket/users.parquet
then SELECT [[users]].* FROM [[users]] automatically expands to:
SELECT users.* FROM 's3://your-bucket/users.parquet' AS users
Named Queries: [[query_name]]
Similarly, you can reference named queries from the queries section with [[]]. This is one way to keep the routes clean even with complicated sql queries.
queries:
get_user_permissions: |
SELECT [[users]].user_id, [[users]].name, [[user_permissions]].permission_name, [[user_permissions]].granted_date
FROM [[users]]
JOIN [[user_permissions]] ON [[users]].user_id = [[user_permissions]].user_id
WHERE [[users]].user_id = {{user_id}}
routes:
- route: users/{{user_id}}/permissions
sql: "[[get_permissions]]"
EXAMPLE
Here's a complete example
name: db_example
description: Example database with Parquet files
authors:
- API Team
# Table definitions - supports multiple storage backends
tables:
users: s3://your-bucket/users.parquet # S3
permissions: gs://your-bucket/permissions.parquet # Google Cloud Storage
posts: https://store-files.com/bucket/posts.parquet # HTTPS
local_data: tables/local_data.parquet # Local filesystem
# Named queries (optional)
queries:
get_permissions: >
SELECT [[users]].*, [[permissions]].permission_name
FROM [[users]]
JOIN [[permissions]] ON [[users]].ID = [[permissions]].ID
WHERE [[users]].user_id = {{user_id}}
# REST route definitions
routes:
- route: users
sql: SELECT [[users]].* FROM [[users]]
- route: users/{{user_id}}
sql: SELECT [[users]].* FROM [[users]] WHERE [[users]].user_id = {{user_id}}
- route: users/{{user_id}}/permissions
sql: "[[get_permissions]]"
For more details, see the SQL Database Support Wiki.
URL Query Parameters
Database routes support declarative URL query parameters via the query_params section. This lets you add filtering, sorting, pagination, conditional logic, and direct responses — all driven by the URL query string.
Routes without a query_params section work exactly as before (full backward compatibility).
Basic Filtering with sql
Use sql to add WHERE clause fragments. Each fragment is joined with AND. Optional by default — only included if the parameter is in the URL.
routes:
- route: users
sql: SELECT * FROM [[users]]
query_params:
- age:
sql: age = {{age}} # optional — only if ?age= provided
- department:
sql: department = '{{department}}'
- height:
sql: height < {{height}}
default: 200 # always included (uses 200 if not in URL)
GET /db/users?age=25&department=engineering
# SQL: SELECT * FROM users WHERE age = 25 AND height < 200 AND department = 'engineering'
GET /db/users
# SQL: SELECT * FROM users WHERE height < 200
Sorting and Pagination with sql_append
Use sql_append to append clauses after the WHERE clause — for ORDER BY, LIMIT, OFFSET, etc. Fragments are appended in the order they appear in the YAML config, so the YAML order must match valid SQL order (ORDER BY before LIMIT before OFFSET).
sql_append templates can reference {{variables}} from other parameters, including value-only parameters — params that only have a default and exist solely to provide a variable for other templates.
routes:
- route: users
sql: SELECT * FROM [[users]]
query_params:
# WHERE clause params
- department:
sql: department = '{{department}}'
# Post-WHERE params
- sort:
sql_append: ORDER BY {{sort}} {{sort_direction}}
default: created_date
- sort_direction:
default: DESC # value-only param — feeds into sort's template
- limit:
sql_append: LIMIT {{limit}}
default: 50
- offset:
sql_append: OFFSET {{offset}} # optional — only if ?offset= provided
GET /db/users?department=engineering&sort=name&sort_direction=ASC&limit=10
# SQL: SELECT * FROM users WHERE department = 'engineering' ORDER BY name ASC LIMIT 10
GET /db/users
# SQL: SELECT * FROM users ORDER BY created_date DESC LIMIT 50
GET /db/users?limit=20&offset=40
# SQL: SELECT * FROM users ORDER BY created_date DESC LIMIT 20 OFFSET 40
Required Parameters
Use required: true to return a 400 error if the parameter is missing. Optionally provide a custom error response with missing_response.
query_params:
- report_type:
sql: report_type = {{report_type}}
required: true
missing_response:
error: "report_type is required"
valid_types: ["summary", "detailed"]
http_status: 400
GET /db/reports
# Response (400): {"error": "report_type is required", "valid_types": [...], "http_status": 400}
Direct Responses with response
Use response to return a fixed JSON or string response immediately when the parameter is present (no SQL is executed).
query_params:
- debug:
response:
message: Debug mode enabled
info: "This endpoint queries the users table"
- sleeping:
response: "Wake up! This endpoint is disabled during sleep mode."
GET /db/users?debug=anything
# Response (200): {"message": "Debug mode enabled", "info": "This endpoint queries the users table"}
GET /db/users?sleeping=true
# Response (200): "Wake up! This endpoint is disabled during sleep mode."
Conditional Logic with conditional
Use conditional to branch on the parameter's value. Each branch can lead to a sql fragment, a response, or an action.
query_params:
- enrolled:
conditional:
true:
sql: enrolled = true # adds to WHERE clause
false:
sql: enrolled = false
pending:
response:
message: "Pending users cannot be queried"
action: "Contact admin"
default:
response: "Unknown enrollment status"
GET /db/users?enrolled=true
# SQL: SELECT * FROM users WHERE enrolled = true
GET /db/users?enrolled=pending
# Response (200): {"message": "Pending users cannot be queried", "action": "Contact admin"}
GET /db/users?enrolled=xyz
# Response (200): "Unknown enrollment status"
Complete Example
Combining all parameter types in a single route:
name: my_database
tables:
users: s3://bucket/users.parquet
routes:
- route: users/search
sql: SELECT * FROM [[users]]
query_params:
# WHERE clause filters
- name:
sql: name ILIKE '%{{name}}%'
- age_min:
sql: age >= {{age_min}}
- age_max:
sql: age <= {{age_max}}
- department:
sql: department = '{{department}}'
# Sorting and pagination (sql_append)
- sort:
sql_append: ORDER BY {{sort}} {{sort_direction}}
default: created_date
- sort_direction:
default: DESC
- limit:
sql_append: LIMIT {{limit}}
default: 50
- offset:
sql_append: OFFSET {{offset}}
# Direct response
- sleeping:
response: "Search is disabled during sleep mode."
# Full search with filters, sorting, and pagination
GET /my_database/users/search?name=john&age_min=21&age_max=65&sort=age&sort_direction=ASC&limit=20&offset=40
# SQL: SELECT * FROM users
# WHERE name ILIKE '%john%' AND age >= 21 AND age <= 65
# ORDER BY age ASC LIMIT 20 OFFSET 40
# Just defaults
GET /my_database/users/search
# SQL: SELECT * FROM users ORDER BY created_date DESC LIMIT 50
# Direct response, no SQL
GET /my_database/users/search?sleeping=true
# Response: "Search is disabled during sleep mode."
Processing Order
Parameters are processed in this order (first match wins for early returns):
responseparameters — return immediately if parameter presentconditionalparameters — evaluate value, may return response or add SQLrequiredparameters — return 400 if missingsqlparameters — build WHERE clause fragmentssql_appendparameters — append post-WHERE clauses (ORDER BY, LIMIT, etc.)- Execute final SQL query
Cookies and Authentication
API Dock supports cookie extraction and authentication for both remote APIs and database routes. Cookies can be passed through to remote APIs or used for authentication validation.
Cookie Configuration
Configure cookies to extract from incoming requests and make them available as template variables:
# Enable all cookies (default: false)
cookies: true
# Or specify specific cookies to extract
cookies: [session_id, auth_token, user_preferences]
# Disable all cookies (default behavior)
cookies: false
When cookies: true, all cookies are accepted and available. When cookies: false (default), no cookies are processed except authentication cookies when authentication is configured. When providing a list, only specified cookies are extracted.
Cookies can then be accessed in SQL queries using {{cookies.cookie_name}}:
# Database route using cookies
routes:
- route: user/profile
sql: SELECT * FROM [[users]] WHERE session_id = '{{cookies.session_id}}'
Authentication Configuration
Configure authentication to validate requests before processing. Multiple authentication methods are supported:
Fixed Value Authentication
authentication:
key: "auth_token"
value: "secret123"
encrypted: false
failed_response:
status: 401
message: "Access denied"
List of Valid Values
authentication:
key: "auth_token"
values:
- "Z0FBQUFBQnBx...c9PQ=="
- "Z0FzxDeBFBnB...9OuT=="
- "Z54dUeiIFZnk...cXnn=="
encrypted: true
File-Based Authentication
authentication:
key: "auth_token"
filepath: "/path/to/tokens.txt"
encrypted: true
AWS Secrets Manager
authentication:
key: "auth_token"
aws_secret_name: "api-dock/tokens"
aws_region: "us-west-2"
encrypted: false
AWS KMS Encryption
authentication:
key: "auth_token"
aws_key_id: "arn:aws:kms:us-west-2:123456789:key/12345678-1234-1234-1234-123456789012"
aws_region: "us-west-2"
encrypted: true
GCP Secret Manager
authentication:
key: "auth_token"
gcp_secret_name: "api-dock-tokens"
gcp_project_id: "my-project"
encrypted: false
Authentication Options
encrypted: true/false- Whether stored values are encrypted and need decryption
Note: Authentication currently only supports token extraction from cookies, not Authorization headers.
For detailed setup instructions and examples, see the complete authentication documentation.
Using RouteMapper in Your Own Projects
The core functionality is available as a standalone RouteMapper class that can be integrated into any web framework:
Basic Integration
from api_dock.route_mapper import RouteMapper
import asyncio
# Initialize with optional config path
route_mapper = RouteMapper(config_path="path/to/config.yaml")
# Get API metadata
metadata = route_mapper.get_config_metadata()
# Check configuration values
success, value, error = route_mapper.get_config_value("some_key")
# Route requests (async version for FastAPI, etc.)
success, data, status, error = await route_mapper.map_route(
remote_name="service1",
path="users/123",
method="GET",
headers={"Authorization": "Bearer token"},
query_params={"limit": "10"}
)
# Route requests (sync version for Flask, etc.)
success, data, status, error = route_mapper.map_route_sync(
remote_name="service1",
path="users/123",
method="GET"
)
Framework Examples
Django Integration
from django.http import JsonResponse
from api_dock.route_mapper import RouteMapper
route_mapper = RouteMapper()
def api_proxy(request, remote_name, path):
success, data, status, error = route_mapper.map_route_sync(
remote_name=remote_name,
path=path,
method=request.method,
headers=dict(request.headers),
body=request.body,
query_params=dict(request.GET)
)
if not success:
return JsonResponse({"error": error}, status=status)
return JsonResponse(data, status=status)
Custom Framework Integration
from api_dock.route_mapper import RouteMapper
route_mapper = RouteMapper()
@your_framework.route("/{remote_name}/{path:path}")
def proxy_handler(remote_name, path, request):
success, data, status, error = route_mapper.map_route_sync(
remote_name=remote_name,
path=path,
method=request.method,
headers=request.headers,
body=request.body,
query_params=request.query_params
)
return your_framework.Response(data, status=status)
Database Integration
The RouteMapper also supports SQL database queries through the map_database_route method:
from api_dock.route_mapper import RouteMapper
import asyncio
route_mapper = RouteMapper(config_path="path/to/config.yaml")
# Query database (async version)
async def query_database():
success, data, status, error = await route_mapper.map_database_route(
database_name="db_example",
path="users/123"
)
if success:
print(data) # List of dictionaries from SQL query
else:
print(f"Error: {error}")
# Run async query
asyncio.run(query_database())
Django Database Integration
from django.http import JsonResponse
from api_dock.route_mapper import RouteMapper
import asyncio
route_mapper = RouteMapper()
def database_query(request, database_name, path):
# Run async database query in sync context
success, data, status, error = asyncio.run(
route_mapper.map_database_route(
database_name=database_name,
path=path
)
)
if not success:
return JsonResponse({"error": error}, status=status)
return JsonResponse(data, safe=False, status=status)
Flask Database Integration
from flask import Flask, jsonify
from api_dock.route_mapper import RouteMapper
import asyncio
app = Flask(__name__)
route_mapper = RouteMapper()
@app.route("/<database_name>/<path:path>")
def database_proxy(database_name, path):
success, data, status, error = asyncio.run(
route_mapper.map_database_route(
database_name=database_name,
path=path
)
)
if not success:
return jsonify({"error": error}), status
return jsonify(data), status
Advanced Configuration Examples
This section provides examples for advanced API Dock features mentioned in the Quick Example.
Route Restrictions
Restrict access to specific routes using the restricted section:
# api_dock_config/remotes/secure_api.yaml
name: secure_api
url: https://internal-api.company.com
routes:
- health
- users/{{user_id}}
- admin/{{}}
# Block access to admin routes
restricted:
- admin/{{}} # Block all admin routes
- route: "users/{{user_id}}" # Block DELETE on user routes
method: delete
Custom Route Mapping
Map local routes to different remote endpoints:
# api_dock_config/remotes/legacy_api.yaml
name: legacy_api
url: https://old-system.company.com
routes:
# Map modern endpoint to legacy path
- route: users/{{user_id}}/profile
remote_route: legacy/user-info/{{user_id}}
method: get
# Complex mapping with query parameters
- route: search/{{category}}/{{term}}
remote_route: api/v1/search?category={{category}}&query={{term}}
method: get
Query Parameter Filtering
Add dynamic filtering to database routes:
# api_dock_config/databases/analytics.yaml
name: analytics
tables:
events: s3://analytics-bucket/events/**/*.parquet
routes:
- route: events
sql: SELECT * FROM [[events]]
query_params:
- date_from:
sql: event_date >= '{{date_from}}'
- event_type:
sql: type = '{{event_type}}'
- user_id:
sql: user_id = {{user_id}}
required: true
Sorting and Pagination
Add sorting and pagination to database queries:
# api_dock_config/databases/user_data.yaml
name: user_data
tables:
users: s3://data-bucket/users.parquet
routes:
- route: users
sql: SELECT * FROM [[users]]
query_params:
- sort:
sql_append: ORDER BY {{sort}} {{sort_direction}}
default: created_date
- sort_direction:
default: DESC
- limit:
sql_append: LIMIT {{limit}}
default: 50
- offset:
sql_append: OFFSET {{offset}}
Authentication Setup
Protect database routes with token-based authentication:
# api_dock_config/databases/secure_data.yaml
name: secure_data
# Authentication configuration
authentication:
key: "api_token"
values: ["secret123", "admin456", "readonly789"]
encrypted: false
failed_response:
status: 403
message: "Valid API token required"
tables:
sensitive_data: s3://private-bucket/data.parquet
routes:
- route: data
sql: SELECT * FROM [[sensitive_data]]
Note: there are several (safer) options for authentication. See Authentication Configuration for more details.
Cookie Access
Extract and use cookie values in database queries:
# api_dock_config/databases/user_session.yaml
name: user_session
# Enable specific cookie extraction
cookies: [user_id, session_token, preferences]
tables:
user_activity: s3://analytics/activity.parquet
routes:
- route: my-activity
sql: SELECT * FROM [[user_activity]] WHERE user_id = '{{cookies.user_id}}'
- route: user-settings
sql: |
SELECT * FROM [[user_activity]]
WHERE user_id = '{{cookies.user_id}}'
AND session_token = '{{cookies.session_token}}'
Requirements
Requirements are managed through a Pixi "project" (similar to a conda environment). After pixi is installed use pixi run <cmd> to ensure the correct project is being used. For example,
# launch jupyter
pixi run jupyter lab .
# run a script
pixi run python scripts/hello_world.py
The first time pixi run is executed the project will be installed (note this means the first run will be a bit slower). Any changes to the project will be updated on the subsequent pixi run. It is unnecessary, but you can run pixi install after changes - this will update your local environment, so that it does not need to be updated on the next pixi run.
Note, the repo's pyproject.toml, and pixi.lock files ensure pixi run will just work. No need to recreate an environment. Additionally, the pyproject.toml file includes api_dock = { path = ".", editable = true }. This line is equivalent to pip install -e ., so there is no need to pip install this module.
The project was initially created using a package_names.txt and the following steps. Note that this should NOT be re-run as it will create a new project (potentially changing package versions).
#
# IMPORTANT: Do NOT run this unless you explicity want to create a new pixi project
#
# 1. initialize pixi project (in this case the pyproject.toml file had already existed)
pixi init . --format pyproject
# 2. add specified python version
pixi add python=3.11
# 3. add packages (note this will use pixi magic to determine/fix package version ranges)
pixi add $(cat package_names.txt)
# 4. add pypi-packages, if any (note this will use pixi magic to determine/fix package version ranges)
pixi add --pypi $(cat pypi_package_names.txt)
License
BSD 3-Clause
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