mirror of
https://github.com/littledivy/mimic.git
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Capture your own session with mitmproxy, reuse your real auth, and let claude -p write an ergonomic client from the captured endpoints. - Session/App runtime with mitm + cURL sources and token auto-refresh - CLI: record / doctor / hosts / learn / gen - one-command install via uv; mitmproxy launched on demand via uvx - MIT licensed, own-accounts-only framing
111 lines
3.5 KiB
Python
111 lines
3.5 KiB
Python
"""Read captured traffic from a running mitmweb instance.
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mitmweb exposes a JSON API on http://127.0.0.1:8081. Auth is a token passed
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once as a query param, which sets a session cookie; subsequent requests reuse
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the cookie. This module pulls the raw flows and normalizes them into a shape
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that both the runtime Session and the AI codegen step can consume.
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"""
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import json
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import os
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import requests
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DEFAULT_URL = os.environ.get("MITM_URL", "http://127.0.0.1:8081")
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DEFAULT_TOKEN = os.environ.get("MITM_TOKEN", "test")
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class MitmError(RuntimeError):
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pass
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class Mitm:
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"""A thin client over a running mitmweb's flow API."""
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def __init__(self, url=DEFAULT_URL, token=DEFAULT_TOKEN):
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self.url = url.rstrip("/")
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self.token = token
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self._http = requests.Session()
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def _auth(self):
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try:
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self._http.get(f"{self.url}/", params={"token": self.token}, timeout=5)
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except requests.RequestException as e:
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raise MitmError(
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f"can't reach mitmweb at {self.url} — is it running? "
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f"start it with `mitmweb` (original error: {e})"
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)
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def flows(self):
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"""All captured flows as a list of dicts (mitmweb's own schema)."""
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self._auth()
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r = self._http.get(f"{self.url}/flows", timeout=15)
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if r.status_code != 200:
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raise MitmError(f"mitmweb /flows returned {r.status_code}")
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return r.json()
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def body(self, flow_id, side):
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"""Raw request/response body bytes for a flow. side is 'request' or 'response'."""
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r = self._http.get(
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f"{self.url}/flows/{flow_id}/{side}/content.data", timeout=15
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)
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return r.content
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def _headers_dict(req):
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return {k: v for k, v in req.get("headers", [])}
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def hosts(flows):
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"""Count requests per host, most frequent first."""
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counts = {}
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for f in flows:
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req = f.get("request")
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if req:
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counts[req["host"]] = counts.get(req["host"], 0) + 1
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return sorted(counts.items(), key=lambda kv: -kv[1])
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def endpoints(mitm, flows, host):
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"""Distinct (method, path) endpoints for a host, with a sample req/resp body.
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Returns a list of dicts ready to feed to the AI. Latest capture of each
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endpoint wins, so bodies reflect the most recent real call.
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"""
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by_key = {}
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for f in flows:
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req = f.get("request")
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if not req or req["host"] != host:
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continue
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by_key[(req["method"], req["path"].split("?")[0])] = f
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out = []
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for (method, path), f in by_key.items():
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req = f.get("request") or {}
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resp = f.get("response") or {}
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out.append(
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{
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"method": method,
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"path": path,
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"status": resp.get("status_code"),
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"query": req["path"].split("?", 1)[1] if "?" in req["path"] else "",
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"request_body": _decode(mitm.body(f["id"], "request")),
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"response_body": _decode(mitm.body(f["id"], "response")),
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}
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)
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return out
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def _decode(raw, limit=4000):
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"""Best-effort decode of a body to a truncated JSON/text string for the AI."""
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if not raw:
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return ""
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try:
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text = raw.decode("utf-8")
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except UnicodeDecodeError:
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return f"<{len(raw)} bytes binary>"
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try: # pretty-print + truncate JSON so the AI sees structure, not noise
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text = json.dumps(json.loads(text), indent=2)
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except ValueError:
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pass
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return text[:limit] + ("\n…(truncated)" if len(text) > limit else "")
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