Spaces:
Running
Running
File size: 15,306 Bytes
e6ce96e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 | """
curl_exec tool — execute HTTP calls via subprocess, index responses, return truncated result.
Parses curl command string, executes against live EC2 server, auto-injects session cookies,
indexes full response into episode BM25 store, returns smart-truncated observation.
"""
from __future__ import annotations
import json
import re
import shlex
import subprocess
import time
from typing import Any
from urllib.parse import urlparse
# ---------------------------------------------------------------------------
# Truncation constants
# ---------------------------------------------------------------------------
NONJSON_MAX_CHARS = 3000 # HTML / plain text truncation (raised for CSRF token visibility)
ARRAY_PREVIEW_ITEMS = 2 # How many items to show in large arrays
ARRAY_LARGE_THRESHOLD = 3 # Arrays >= this size are truncated
# ---------------------------------------------------------------------------
# Curl command parser
# ---------------------------------------------------------------------------
def parse_curl_command(command: str) -> dict:
"""
Parse a curl command string into components.
Returns dict with keys: method, url, headers, body, data_type
"""
# Normalize: remove newline continuations
command = re.sub(r"\\\s*\n\s*", " ", command)
try:
tokens = shlex.split(command)
except ValueError:
# Fall back to simple split if shlex fails
tokens = command.split()
if not tokens or tokens[0] != "curl":
raise ValueError(f"Not a curl command: {command[:100]}")
result: dict = {
"method": "GET",
"url": None,
"headers": {},
"body": None,
"data_type": None, # "json" | "form" | None
}
i = 1
while i < len(tokens):
tok = tokens[i]
if tok in ("-X", "--request") and i + 1 < len(tokens):
result["method"] = tokens[i + 1].upper()
i += 2
elif tok in ("-H", "--header") and i + 1 < len(tokens):
header = tokens[i + 1]
if ":" in header:
name, _, value = header.partition(":")
result["headers"][name.strip().lower()] = value.strip()
i += 2
elif tok in ("-d", "--data", "--data-raw", "--data-binary") and i + 1 < len(tokens):
result["body"] = tokens[i + 1]
if result["method"] == "GET":
result["method"] = "POST"
i += 2
elif tok == "--data-urlencode" and i + 1 < len(tokens):
# Append to existing body
existing = result.get("body") or ""
if existing:
result["body"] = existing + "&" + tokens[i + 1]
else:
result["body"] = tokens[i + 1]
if result["method"] == "GET":
result["method"] = "POST"
i += 2
elif tok in ("-F", "--form") and i + 1 < len(tokens):
existing = result.get("body") or ""
if existing:
result["body"] = existing + "&" + tokens[i + 1]
else:
result["body"] = tokens[i + 1]
if result["method"] == "GET":
result["method"] = "POST"
i += 2
elif tok in ("-u", "--user") and i + 1 < len(tokens):
i += 2 # skip basic auth for now
elif tok in ("-L", "--location", "-s", "--silent", "-v", "--verbose",
"-k", "--insecure", "--compressed", "-g", "--globoff"):
i += 1
elif tok in ("-o", "--output", "--max-time", "--connect-timeout",
"--retry", "-A", "--user-agent", "-e", "--referer"):
i += 2 # skip flag + value
elif not tok.startswith("-") and result["url"] is None:
result["url"] = tok.strip("'\"")
i += 1
elif tok.startswith("http"):
result["url"] = tok.strip("'\"")
i += 1
else:
i += 1
# Infer data_type from content-type header
ct = result["headers"].get("content-type", "")
if "application/json" in ct:
result["data_type"] = "json"
elif "application/x-www-form-urlencoded" in ct or "multipart/form-data" in ct:
result["data_type"] = "form"
elif result["body"]:
# Guess from body
if result["body"].strip().startswith("{") or result["body"].strip().startswith("["):
result["data_type"] = "json"
else:
result["data_type"] = "form"
return result
# ---------------------------------------------------------------------------
# Smart truncation
# ---------------------------------------------------------------------------
def smart_truncate(body_text: str, content_type: str = "") -> Any:
"""
Apply truncation rules to a response body string.
Rules (first match wins):
1. Non-JSON → truncate to NONJSON_MAX_CHARS
2. JSON primitive (str/int/bool/null) → never truncate
3. Error (detected by content) → never truncate
4. JSON object/array with no large arrays → return as-is
5. JSON with large array → keep first ARRAY_PREVIEW_ITEMS, add _list_truncated note
"""
if not body_text:
return ""
# Rule 1: non-JSON
if "application/json" not in content_type and not _looks_like_json(body_text):
return body_text[:NONJSON_MAX_CHARS]
# Try to parse as JSON
try:
parsed = json.loads(body_text)
except (json.JSONDecodeError, ValueError):
return body_text[:NONJSON_MAX_CHARS]
# Rule 2: JSON primitive
if not isinstance(parsed, (dict, list)):
return parsed
# Rule 3: detect error (4xx/5xx already handled by caller; this checks body content)
if isinstance(parsed, dict) and ("message" in parsed or "error" in parsed):
return parsed # never truncate errors
# Rules 4 and 5
return _truncate_json(parsed)
def _looks_like_json(text: str) -> bool:
stripped = text.strip()
return stripped.startswith("{") or stripped.startswith("[") or stripped.startswith('"')
def _truncate_json(obj: Any) -> Any:
if isinstance(obj, list):
if len(obj) >= ARRAY_LARGE_THRESHOLD:
return {
"items": obj[:ARRAY_PREVIEW_ITEMS],
"_list_truncated": {
"shown": ARRAY_PREVIEW_ITEMS,
"total": len(obj),
"note": (
f"Showing {ARRAY_PREVIEW_ITEMS} of {len(obj)} items. "
"Use search_episode_data() to find a specific item from this response."
),
},
}
return obj
if isinstance(obj, dict):
result = {}
for k, v in obj.items():
if isinstance(v, list) and len(v) >= ARRAY_LARGE_THRESHOLD:
result[k] = v[:ARRAY_PREVIEW_ITEMS]
result["_list_truncated"] = {
"field": k,
"shown": ARRAY_PREVIEW_ITEMS,
"total": len(v),
"note": (
f"Showing {ARRAY_PREVIEW_ITEMS} of {len(v)} items. "
"Use search_episode_data() to find a specific item from this response."
),
}
else:
result[k] = v
return result
return obj
# ---------------------------------------------------------------------------
# Cookie injection
# ---------------------------------------------------------------------------
def _inject_cookies(headers: dict, session_state: dict) -> dict:
"""Inject cookies from session_state into the request headers."""
headers = dict(headers) # copy
# Collect cookie values
cookie_parts = []
for key, value in session_state.items():
if key.lower() in ("phpsessid", "sessid", "session", "cookie",
"mage-cache-sessid", "private_content_version",
"form_key", "PHPSESSID"):
cookie_parts.append(f"{key}={value}")
# Check if there's a raw cookie header already
existing = headers.get("cookie", "")
if cookie_parts:
all_cookies = existing + ("; " if existing else "") + "; ".join(cookie_parts)
headers["cookie"] = all_cookies
return headers
# ---------------------------------------------------------------------------
# Session state extraction
# ---------------------------------------------------------------------------
def _extract_set_cookies(response_headers: dict, session_state: dict) -> None:
"""Extract Set-Cookie headers into session_state."""
for name, value in response_headers.items():
if name.lower() == "set-cookie":
# Parse "NAME=VALUE; Path=...; ..."
cookies = value.split(";")
if cookies:
kv = cookies[0].strip()
if "=" in kv:
k, _, v = kv.partition("=")
session_state[k.strip()] = v.strip()
def _extract_tokens_from_body(body: Any, session_state: dict) -> None:
"""Extract auth tokens from JSON response bodies into session_state."""
if isinstance(body, str) and len(body) > 10 and len(body) < 500:
# Likely a token (Magento returns bare quoted strings for auth tokens)
stripped = body.strip('"').strip()
if re.match(r"^[A-Za-z0-9_\-\.]{20,}$", stripped):
session_state["_last_token"] = stripped
if isinstance(body, dict):
for key in ("access_token", "token", "cart_id", "form_key"):
if key in body and body[key]:
session_state[key] = body[key]
# ---------------------------------------------------------------------------
# Public API
# ---------------------------------------------------------------------------
def curl_exec(command: str, session_state: dict, episode_store: dict,
app_base_url: str = "") -> dict:
"""
Parse and execute a curl command against the live app.
Args:
command: Full curl command string
session_state: Current session state (cookies/tokens), mutated in place
episode_store: Per-episode store for BM25 indexing, mutated in place
app_base_url: Base URL to validate requests against
Returns:
{status_code, headers, body} with smart-truncated body
"""
try:
parsed = parse_curl_command(command)
except Exception as e:
return {"status_code": -1, "headers": {}, "body": f"curl parse error: {e}", "error": str(e)}
if not parsed["url"]:
return {"status_code": -1, "headers": {}, "body": "No URL in curl command", "error": "missing url"}
# Inject session cookies
parsed["headers"] = _inject_cookies(parsed["headers"], session_state)
# Build actual curl args
args = ["curl", "-s", "-i", "-L", "--max-time", "15"]
args += ["-X", parsed["method"]]
args += [parsed["url"]]
for h_name, h_val in parsed["headers"].items():
args += ["-H", f"{h_name}: {h_val}"]
if parsed["body"]:
args += ["-d", parsed["body"]]
try:
result = subprocess.run(
args,
capture_output=True,
text=True,
timeout=20,
)
raw_output = result.stdout
except subprocess.TimeoutExpired:
return {"status_code": -1, "headers": {}, "body": "Request timed out (20s)", "error": "timeout"}
except Exception as e:
return {"status_code": -1, "headers": {}, "body": f"subprocess error: {e}", "error": str(e)}
# Parse HTTP response: headers + body split at blank line
status_code = 0
resp_headers: dict[str, str] = {}
body_text = ""
if raw_output:
# Find status line (handle redirects: multiple HTTP/ headers)
lines = raw_output.split("\r\n") if "\r\n" in raw_output else raw_output.split("\n")
header_lines = []
body_lines = []
in_body = False
last_status = 0
for line in lines:
if in_body:
body_lines.append(line)
elif line.startswith("HTTP/"):
# Could be redirect status; keep last
parts = line.split(" ", 2)
if len(parts) >= 2:
try:
last_status = int(parts[1])
except ValueError:
pass
header_lines = [] # reset headers for this response
elif line.strip() == "":
if last_status: # we've seen at least one status line
in_body = True
else:
header_lines.append(line)
status_code = last_status
body_text = "\n".join(body_lines).strip()
for h_line in header_lines:
if ":" in h_line:
h_name, _, h_val = h_line.partition(":")
resp_headers[h_name.strip().lower()] = h_val.strip()
# Extract cookies / tokens into session_state
_extract_set_cookies(resp_headers, session_state)
# Try to parse body as JSON
resp_ct = resp_headers.get("content-type", "")
parsed_body: Any = body_text
try:
parsed_body = json.loads(body_text) if body_text else ""
except (json.JSONDecodeError, ValueError):
parsed_body = body_text
# Extract tokens from body
_extract_tokens_from_body(parsed_body, session_state)
# Index into episode BM25 store BEFORE truncation
_index_into_episode_store(
episode_store=episode_store,
request_body=parsed["body"],
response_body=parsed_body,
url=parsed["url"],
method=parsed["method"],
status_code=status_code,
)
# Apply smart truncation
if status_code >= 400:
# Never truncate errors
truncated_body = parsed_body
else:
body_for_truncation = body_text if isinstance(parsed_body, str) else json.dumps(parsed_body)
truncated_body = smart_truncate(body_for_truncation, resp_ct)
return {
"status_code": status_code,
"headers": resp_headers,
"body": truncated_body,
}
# ---------------------------------------------------------------------------
# Episode store indexing
# ---------------------------------------------------------------------------
def _index_into_episode_store(episode_store: dict, request_body: Any,
response_body: Any, url: str, method: str,
status_code: int) -> None:
"""Index request/response into episode BM25 store for search_episode_data()."""
if "bm25_corpus" not in episode_store:
episode_store["bm25_corpus"] = []
episode_store["bm25_metadata"] = []
def _to_text(obj: Any) -> str:
if obj is None:
return ""
if isinstance(obj, str):
return obj
return json.dumps(obj)
entry_text = f"url: {url} | method: {method} | status: {status_code} | " \
f"request: {_to_text(request_body)} | response: {_to_text(response_body)}"
episode_store["bm25_corpus"].append(entry_text)
episode_store["bm25_metadata"].append({
"url": url,
"method": method,
"status_code": status_code,
"response_body": response_body,
})
|