APITestka

APITestka is a lightweight, cross-platform Python framework for automated API testing. It started as an HTTP/HTTPS / SOAP-XML / JSON request runner with reporting and a JSON-driven executor, and now ships with a much wider toolkit — variable chaining, OpenAPI / Postman / HAR / cURL importers, a record-replay proxy, security probes, parallel runners, an MCP server for Claude, and more.

Translations / Other Languages: 繁體中文 | 简体中文

Highlights
Installation
Quick Start
Core Concepts
Feature Map
MCP Server for Claude
Project Structure
Optional Extras
Development
Contributing
License
Links

Highlights

Area	What you get
Backends	`requests` (sync, sessions), `httpx` (sync + async, HTTP/2), WebSocket, SSE, GraphQL
Data layer	Variable store, `{{var}}` templating, CSV/JSON data-driven loops, env profiles, fake data
Assertions	Field assertions, JSON Schema, JSONPath, snapshot, structural diffs, OpenAPI contract drift, response-time SLAs
Connection	mTLS, proxies, DNS override, VCR-style cassette record/replay
Mock server	Static, dynamic, stateful, fault injection, OpenAPI-driven, Jinja templating, webhook receiver, record-replay proxy
Runner	Sequential & parallel execution, tag filters, dependency-aware ordering, retry policies
Reports	HTML / JSON / XML / JUnit / Allure / Markdown / shields.io badge / SQLite trend store / run diff
Integrations	Slack / Teams / Discord webhook, GitHub PR comment, cURL & HAR importers, OpenAPI / Postman importer
CLI / DX	Subcommand CLI, REPL, terminal summary, shell completion, scaffold
Security	Auth helpers (Basic / Bearer / JWT / AWS SigV4), header / CORS / rate-limit / SSRF probes, pip-audit wrapper, fuzz inputs
Spec inference	Test record → OpenAPI, JSON Schema inference, OpenAPI changelog
AI	Pluggable backend with deterministic fallback for test generation, fake data, failure classification
MCP	First-class Claude Code / MCP server exposing the framework as tools
GUI	Optional PySide6 GUI (English / 繁中 / 简中 / 日本語) plus Swagger UI embed
Cross-platform	Windows, macOS, Linux. Python 3.10–3.14

Installation

pip install je_api_testka

Optional extras (install with pip install 'je_api_testka[<extra>]'):

Extra	Adds
`gui`	PySide6 GUI
`websocket`	`websockets` for the WebSocket wrapper
`schema`	`jsonschema` and `jsonpath-ng` for advanced assertions
`security`	`pyjwt` and `botocore` for JWT / AWS SigV4 helpers
`otel`	`opentelemetry-api` / `opentelemetry-sdk` for tracing hooks
`mcp`	`mcp` Python SDK for the MCP server

Quick Start

from je_api_testka import test_api_method_requests, generate_html_report

test_api_method_requests(
    "get", "https://httpbin.org/get",
    result_check_dict={"status_code": 200},
)
generate_html_report("smoke")

JSON-driven equivalent (smoke.json):

{
  "api_testka": [
    ["AT_test_api_method_requests", {
      "http_method": "get",
      "test_url": "https://httpbin.org/get",
      "result_check_dict": {"status_code": 200}
    }],
    ["AT_generate_html_report", {"html_file_name": "smoke"}]
  ]
}

apitestka run smoke.json

Core Concepts

Backends — every HTTP call goes through requests_wrapper, httpx_wrapper, websocket_wrapper, sse_wrapper, or graphql_wrapper. They share a record format.
test_record_instance — a thread-safe singleton that captures every request / response. Reports, diffs, badges, and the trend store all read from it.
Executor — a command map (AT_* keys) over Python callables. JSON action lists drive it. New features register themselves here so apitestka run can use them without writing Python.
VariableStore — a thread-safe key/value store. {{var}} placeholders inside payloads, URLs, headers, and templates resolve against it. Combine with AT_extract_and_store to chain requests.
Optional dependencies — heavyweight features (WebSockets, JSON Schema, JWT, MCP) live behind extras and raise a friendly error if you call them without installing.

Feature Map

HTTP / Protocol Backends

Backend	Function
`requests`	`test_api_method_requests` (sync, sessions)
`httpx` sync	`test_api_method_httpx`
`httpx` async	`test_api_method_httpx_async` (HTTP/2 via `http2=True`)
WebSocket	`test_api_method_websocket`, `test_api_method_websocket_async` (extra: `websocket`)
SSE	`iter_sse_events`, `test_api_method_sse`
GraphQL	`test_api_method_graphql`, `test_api_method_graphql_async`

from je_api_testka import test_api_method_graphql

test_api_method_graphql(
    "https://api.example.invalid/graphql",
    query="query Get($id: ID!) { user(id: $id) { id name } }",
    variables={"id": "42"},
)

Data Layer

from je_api_testka import (
    variable_store, render_template, extract_and_store, load_env_profile,
    fake_uuid, iter_csv_rows,
)

load_env_profile("envs/dev.json")           # populates variable_store
extract_and_store({"data": {"id": 7}}, "data.id", "user_id")
render_template("/users/{{user_id}}")        # -> "/users/7"

for row in iter_csv_rows("data/users.csv"):
    variable_store.set("email", row["email"])
    test_api_method_requests("post", "https://x.invalid/login", json=row)

Executor commands: AT_set_variable, AT_get_variable, AT_clear_variables, AT_extract_and_store, AT_render_template, AT_fake_uuid, AT_fake_email, AT_fake_word, AT_load_env_profile.

Assertions, Diffs and SLAs

from je_api_testka import (
    check_json_schema, check_jsonpath, assert_snapshot,
    diff_payloads, diff_openapi_specs, RetryPolicy, retry_call,
)
from je_api_testka.diff.sla_check import ResponseSLA, assert_sla

check_json_schema(payload, {"type": "object", "required": ["id"]})
check_jsonpath(payload, "$.data.id", expected=7)
assert_snapshot("user-by-id", payload, ignore_keys=["timestamp"])
diff = diff_payloads(prod_response, staging_response, ignore_paths=["server_time"])
assert_sla(records, ResponseSLA(max_ms=2000, p95_ms=1500))

Connection Layer

from je_api_testka.connection import (
    ConnectionOptions, apply_to_requests_kwargs,
    dns_override, Cassette, replay_or_record,
)

options = ConnectionOptions(cert=("c.crt", "c.key"),
                            proxies={"https": "http://proxy:8080"})

with dns_override({"api.example.invalid": "127.0.0.1"}):
    test_api_method_requests("get", "https://api.example.invalid/health")

cassette = Cassette("tape.json")  # offline replay-or-record

Mock Server

The bundled FlaskMockServer now supports several layered features:

Feature	API
Static routes	`flask_mock_server_instance.add_router({...})`
Dynamic routes	`server.add_dynamic_route(...)` + `DynamicRouter` rules
Stateful store	`server.state` (`StatefulStore`)
Fault injection	`server.fault_injector.configure(latency_seconds=..., failure_probability=...)`
OpenAPI driven	`server.load_openapi(spec)`
Templated	`server.add_template_route("/x", {"msg": "{{name}}"})`
Webhook receive	`server.add_webhook("/hook")` then read `server.webhook_receiver.all()`
Record-replay	`server.add_proxy("https://upstream", "tape.json")`

apitestka mock --host 0.0.0.0 --port 9000

Runner

from je_api_testka.runner import (
    run_actions_parallel, filter_actions_by_tag, order_actions,
)

actions = order_actions(filter_actions_by_tag(actions, {"smoke"}))
results = run_actions_parallel(actions, max_workers=8)

Reports and Observability

from je_api_testka import (
    generate_html_report, generate_json_report, generate_xml_report,
)
from je_api_testka.utils.generate_report.junit_report import generate_junit_report
from je_api_testka.utils.generate_report.allure_report import generate_allure_report
from je_api_testka.utils.generate_report.markdown_report import generate_markdown_report
from je_api_testka.utils.generate_report.badge import generate_badge
from je_api_testka.utils.generate_report.run_diff import diff_runs
from je_api_testka.utils.generate_report.trend_store import record_current_run

generate_html_report("report")
generate_junit_report("junit.xml")          # GitHub Actions / Jenkins
generate_allure_report("allure-results")    # `allure generate` consumable
generate_markdown_report("report.md")       # Slack / GitHub-friendly
generate_badge("badge.json")                # shields.io endpoint
record_current_run("trend.sqlite")          # historical trend

OpenTelemetry hook (no-op when opentelemetry-api is absent):

from je_api_testka.utils.observability import instrument_request

with instrument_request("GET", "https://x.invalid"):
    test_api_method_requests("get", "https://x.invalid")

Integrations

from je_api_testka.integrations import (
    notify_via_webhook, post_pr_comment,
    curl_to_action, convert_har,
)
from je_api_testka.cli.import_specs import convert_spec_file

notify_via_webhook("https://hooks.slack.invalid/...", summary="...", platform="slack")
post_pr_comment("acme/widget", pr_number=42, token="<gha-token>")

action = curl_to_action("curl -X POST https://api/x -d '{\"a\":1}'")
actions = convert_har("traffic.har")
actions = convert_spec_file("openapi.json", spec_format="openapi")

CLI / Developer Experience

apitestka run actions.json              # or directory
apitestka create my_project
apitestka mock --port 9000
apitestka import openapi.json out.json --format openapi
apitestka repl                          # JSON action REPL
apitestka summary                       # ANSI-coloured summary
apitestka scaffold https://api/x out.json
apitestka completion bash               # source >> ~/.bashrc
apitestka mcp                           # MCP server over stdio

Security Probes

from je_api_testka.security import (
    basic_auth_header, bearer_token_header, build_jwt, aws_sigv4_headers,
    scan_security_headers, cors_preflight, probe_rate_limit, probe_ssrf,
    fuzz_string_inputs, run_pip_audit,
)

scan_security_headers(response_headers)              # HSTS, CSP, nosniff…
cors_preflight("https://api/x", origin="https://app")
probe_rate_limit("https://api/x", burst=20)
probe_ssrf("https://api/fetch", parameter="url")
run_pip_audit()                                      # delegates to pip-audit

OpenAPI Inference

from je_api_testka.spec import infer_schema, records_to_openapi, openapi_changelog

records_to_openapi(title="Recovered", version="0.1.0")
openapi_changelog(prev_spec, current_spec)           # markdown diff

GUI

pip install 'je_api_testka[gui]'

Headless models (HistoryPanelModel, EnvManagerModel, render_side_by_side) live in je_api_testka.gui, allowing tests and headless tooling to drive panels without PySide6. The actual Qt widgets live in main_widget.py.

Locales: English, 繁體中文, 简体中文, 日本語. Switch via LanguageWrapper.reset_language(...).

Pluggable AI Backend

Default backend (NoOpAIBackend) never calls a network. Plug in your own to enable LLM-driven test generation:

from je_api_testka.ai import AIBackend, set_ai_backend, generate_tests_from_openapi

class AnthropicBackend(AIBackend):
    def complete(self, prompt, *, context=None):
        ...  # call your provider
        return llm_response_text

set_ai_backend(AnthropicBackend())
actions = generate_tests_from_openapi(my_openapi_spec)  # falls back to a deterministic
                                                        # happy path if the LLM reply is
                                                        # not valid JSON

MCP Server for Claude

APITestka ships an MCP server so Claude (and any other MCP-compatible client) can drive the framework. Eight tools are exposed:

Tool	Purpose
`apitestka_run_action`	Execute an action list
`apitestka_test_api`	One-shot HTTP request via `requests` backend
`apitestka_curl_to_action`	cURL → action JSON
`apitestka_har_import`	HAR file → action list
`apitestka_render_markdown`	Markdown report from current records
`apitestka_records_to_openapi`	Reconstruct an OpenAPI document
`apitestka_clear_records`	Wipe the test record
`apitestka_get_records`	Return successes / failures

Install and run:

pip install 'je_api_testka[mcp]'
apitestka-mcp        # or: apitestka mcp / python -m je_api_testka.mcp_server

Claude Code config (~/.claude/mcp.json):

{
  "mcpServers": {
    "apitestka": {
      "command": "apitestka-mcp"
    }
  }
}

Project Structure

je_api_testka/
├── __init__.py              # Public API exports
├── __main__.py              # Legacy CLI entry point
├── ai/                      # Pluggable AI backend + helpers
├── cli/                     # apitestka CLI subcommands + REPL + completions
├── connection/              # ConnectionOptions, DNS override, Cassette
├── data/                    # VariableStore, templates, faker, env profiles
├── diff/                    # Response diff / contract drift / SLA
├── graphql_wrapper/         # GraphQL helper
├── gui/                     # Optional PySide6 GUI + headless models
├── httpx_wrapper/           # httpx sync + async wrapper
├── integrations/            # Notifications, PR comments, importers
├── mcp_server/              # Claude / MCP server
├── pytest_plugin/           # pytest fixtures
├── requests_wrapper/        # requests wrapper
├── runner/                  # Parallel runner, tag filter, dependency runner
├── security/                # Auth helpers, fuzz, header / CORS / SSRF / rate-limit / CVE
├── spec/                    # OpenAPI inference / changelog
├── sse_wrapper/             # Server-Sent Events helper
├── utils/                   # Executor, mock server, generators, etc.
└── websocket_wrapper/       # WebSocket wrapper

Optional Extras

pip install 'je_api_testka[websocket]'
pip install 'je_api_testka[schema]'
pip install 'je_api_testka[security]'
pip install 'je_api_testka[otel]'
pip install 'je_api_testka[mcp]'
pip install 'je_api_testka[gui]'

Development

git clone https://github.com/Integration-Automation/APITestka.git
cd APITestka
pip install -r dev_requirements.txt
pytest                     # full suite (~300+ tests)

CI runs the suite against Python 3.10 – 3.14 on Ubuntu, macOS, and Windows.

Contributing

See CONTRIBUTING.md. Every commit must ship with unit tests (see CLAUDE.md → Testing Guidelines).

License

MIT — see licenses/APITestka_LICENSE.

Release files for je-api-testka 0.0.142

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