技能提交
This commit is contained in:
1 parent
210cb5117f
commit
6851c96a45
38 files changed
+8043
-1903
No files matched your search
@@ -28,7 +28,7 @@ scripts/xdfx_flow.py
|
||||
|
||||
## 推荐执行顺序
|
||||
|
||||
默认会自动处理登录态:当命令没有传 `Authorization`,或某个接口返回 401 时,脚本会用固定账号 `admin`、口令 `ch@user` 调用 `POST /api/v1/auth/login/username?password=ch%40user`,请求体为 `{"username":"admin"}`。拿到 `access_token` 后写入 `Authorization: Bearer ...` 并重试原接口一次。默认关闭 HTTPS 证书校验以兼容 UAT/内网自签证书;如果环境证书链正常,可以追加 `--verify-ssl`。如果已有可用 token,可追加 `--auth-token TOKEN` 或 `--header "Authorization: Bearer TOKEN"`。
|
||||
默认会自动处理登录态:脚本启动时先 `import scripts/xdfx_auth.py`,用固定账号 `admin`、口令 `ch@user` 调用 `POST /api/v1/auth/login/username?password=ch%40user`,请求体为 `{"username":"admin"}`。拿到 `access_token` 后写入内部 `Authorization: Bearer ...`,再调用第一步业务接口;不要通过任何命令行参数传 token。401 时仍由 `xdfx_auth.py` 刷新 token 并重试原接口一次。默认关闭 HTTPS 证书校验以兼容 UAT/内网自签证书;如果环境证书链正常,可以追加 `--verify-ssl`。
|
||||
|
||||
总控按顺序执行下面 6 条命令,所有步骤共用同一个 `xdfx-flow-state.json`:
|
||||
|
||||
@@ -41,13 +41,23 @@ python scripts/xdfx_flow.py --mode step5 --input xdfx-input.json --state xdfx-fl
|
||||
python scripts/xdfx_flow.py --mode step6 --input xdfx-input.json --state xdfx-flow-state.json --summary xdfx-flow-summary.md
|
||||
```
|
||||
|
||||
每条命令结束都会输出一行 `STEP_FEEDBACK {...}`。总控必须在每个 step 命令结束后立即反馈用户,再继续下一步。
|
||||
每条命令结束都会输出一行 `步骤反馈 {...}`。总控必须在每个 step 命令结束后立即反馈用户,再继续下一步。
|
||||
|
||||
每次接口调用前会输出 `OP_FEEDBACK {...}`。总控必须告诉用户当前正在做什么、调用哪个接口。
|
||||
每次接口调用前会输出 `操作反馈 {...}`。总控必须告诉用户当前正在做什么、调用哪个接口。
|
||||
|
||||
如果接口或模型处理报错,会立即输出 `ERROR_FEEDBACK {...}`。总控必须立刻把失败阶段、URL、状态码、请求摘要和响应摘要告诉用户。
|
||||
每次保存接口成功拿到返回 ID 后会输出 `入库反馈 {...}`。总控必须告诉用户已入库的对象类型、名称和返回 ID,例如“已入库关键传播节点:xxx,pathwayAccountId=123”。
|
||||
|
||||
如果模型返回文本经过自动修复仍无法解析,会输出 `JSON_PARSE_REVIEW {...}`。总控必须查看响应片段,判断是否需要重跑当前 step 或重新调用对应接口。
|
||||
如果接口或模型处理报错,会立即输出 `错误反馈 {...}`。总控必须立刻把失败阶段、URL、状态码、请求摘要和响应摘要告诉用户。
|
||||
|
||||
如果模型返回文本经过自动修复仍无法解析,会输出 `JSON解析复核 {...}`。总控必须查看响应片段,判断是否需要重跑当前 step 或重新调用对应接口。
|
||||
|
||||
## 失败重试规则
|
||||
|
||||
- 任意 step 出现 `错误反馈`、`JSON解析复核`,或 `步骤反馈` 中 `状态` 为 `部分完成` / `已跳过` / `本步骤新增错误数` 大于 0 时,总控必须先重跑当前失败的同一条 `--mode stepN` 命令。
|
||||
- 重试前必须告诉用户失败阶段、接口 URL、状态码、响应摘要和“正在重试当前步骤”,不能静默重试。
|
||||
- 当前 step 未重试成功前,不允许继续执行下一 step;不要因为某一步失败就跳过进入后续分析或入库。
|
||||
- 同一 step 重试后仍失败时,停止自动推进,读取 `xdfx-flow-state.json.errors` 汇报失败细节,并等待用户处理或确认。
|
||||
- 只有用户明确要求忽略该失败,才可以继续后续 step;回复中必须说明这是用户确认后的带风险继续。
|
||||
|
||||
如果只想一条命令跑完,也可以使用下面命令做无人值守兜底,但不建议作为默认方式,因为外层工具通常会等命令结束后才返回输出,无法保证用户看到实时反馈:
|
||||
|
||||
@@ -55,21 +65,32 @@ python scripts/xdfx_flow.py --mode step6 --input xdfx-input.json --state xdfx-fl
|
||||
python scripts/xdfx_flow.py --mode full --input xdfx-input.json --state xdfx-flow-state.json --summary xdfx-flow-summary.md
|
||||
```
|
||||
|
||||
更推荐的一条命令方式是使用包装脚本;它内部仍按 step1-step6 分步调用,并逐行转发反馈:
|
||||
|
||||
```bash
|
||||
python scripts/xdfx_run_full_steps.py --input xdfx-input.json --state xdfx-flow-state.json --summary xdfx-flow-summary.md
|
||||
```
|
||||
|
||||
## 断点续跑
|
||||
|
||||
- Step1 成功后会写入 `topAudiences`。
|
||||
- Step1 的受众目标抽取结果里,`用户编号列表` / `编号id` / `id` 必须对应上一轮 `zhanghao` 账号数组的索引值;脚本会按这个索引依次找到账号并保存受众账号关系。
|
||||
- Step2 成功后会写入 `topPathways`。
|
||||
- Step3/Step4 会写入两类脆弱点。
|
||||
- Step5/Step6 会写入两类策略。
|
||||
- Step1 默认入库最优 3 个受众;Step2 默认入库最优 3 个传播节点。
|
||||
- Step3/Step4 默认只选择前 2 个已入库受众/传播节点继续,每个生成最多 3 个脆弱点;可用 `--downstream-audiences` / `--downstream-pathways` 调成 1 或 2。
|
||||
- Step5/Step6 默认对上述选中的每个受众/传播节点生成最多 3 个策略。
|
||||
- 各步骤会同步前端 `task/task-action.step`;需要禁用时每条命令追加 `--no-step-status`。
|
||||
- 策略步骤会同步写入 channel、narrate、message、策略与受众/传播节点关系表,保证原前端策略表格/编排页可继续读取。
|
||||
- 每个步骤完成都会输出 `STEP_FEEDBACK`,总控必须逐步转述给用户。
|
||||
- 每次操作和接口调用都会输出 `OP_FEEDBACK`,总控必须逐条转述当前操作。
|
||||
- 每次错误都会输出 `ERROR_FEEDBACK`,总控必须立即报告错误细节。
|
||||
- 每次 JSON 彻底解析失败都会输出 `JSON_PARSE_REVIEW`,总控必须复核响应片段并判断是否重试当前 step。
|
||||
- 策略步骤保存 `信息形式/模态` 时,必须使用脚本读取 `sys/sys-dict-data` 的 `modelType` 字典并把文字转成 value 逗号串,不能把“图片,视频”等文字直接写入 `task-action-message.modelType`。
|
||||
- 每个步骤完成都会输出 `步骤反馈`,总控必须逐步转述给用户。
|
||||
- 每次操作和接口调用都会输出 `操作反馈`,总控必须逐条转述当前操作。
|
||||
- 每次保存成功都会输出 `入库反馈`,总控必须逐条转述入库对象。
|
||||
- 每次错误都会输出 `错误反馈`,总控必须立即报告错误细节。
|
||||
- 每次 JSON 彻底解析失败都会输出 `JSON解析复核`,总控必须复核响应片段并判断是否重试当前 step。
|
||||
- 每个步骤里的流式模型接口第一次空响应、返回 `y模型没有响应`/`模型没有响应` 或超时类字符串时,会自动再调用一次;仍失败才写入 `errors`。
|
||||
- 某一步失败后,修正问题再重跑同一个 `--mode stepN`。
|
||||
- 某一步失败后,必须先重跑同一个 `--mode stepN`;重试仍失败再等待用户处理或确认,不能自动跳到后续步骤。
|
||||
|
||||
## 汇报规则
|
||||
|
||||
执行过程中按 `OP_FEEDBACK` 告诉用户当前操作和接口;按 `ERROR_FEEDBACK` 立即报告错误;每个 step 结束后再根据 `STEP_FEEDBACK` 回复用户一次。全部步骤结束后,读取 `xdfx-flow-summary.md` 和 `xdfx-flow-state.json.errors` 再做最终汇总。只要存在错误,就明确说“部分完成”,并列出失败阶段、接口 URL、状态码和响应摘要。
|
||||
执行过程中按 `操作反馈` 告诉用户当前操作和接口;按 `入库反馈` 告诉用户已入库什么对象和返回 ID;按 `错误反馈` 立即报告错误;每个步骤结束后再根据 `步骤反馈` 回复用户一次。全部步骤结束后,读取 `xdfx-flow-summary.md` 和 `xdfx-flow-state.json.errors` 再做最终汇总。只要存在错误,就明确说“部分完成”,并列出失败阶段、接口 URL、状态码和响应摘要。
|
||||
|
||||
@@ -0,0 +1,149 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Authentication helper for xdfx skill scripts.
|
||||
|
||||
The caller should not pass tokens through command-line arguments. This module
|
||||
owns the fixed admin login flow and returns a Bearer token before business
|
||||
interfaces are called.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import re
|
||||
import ssl
|
||||
import urllib.error
|
||||
import urllib.parse
|
||||
import urllib.request
|
||||
from dataclasses import dataclass
|
||||
from typing import Any
|
||||
|
||||
|
||||
@dataclass
|
||||
class AuthResult:
|
||||
token: str
|
||||
url: str
|
||||
status: int | None
|
||||
raw: str
|
||||
|
||||
|
||||
class AuthError(RuntimeError):
|
||||
def __init__(
|
||||
self,
|
||||
message: str,
|
||||
*,
|
||||
url: str,
|
||||
status: int | None = None,
|
||||
response: str = "",
|
||||
exception: BaseException | None = None,
|
||||
) -> None:
|
||||
super().__init__(message)
|
||||
self.url = url
|
||||
self.status = status
|
||||
self.response = response
|
||||
self.exception = exception
|
||||
|
||||
|
||||
def auth_header_value(token: str) -> str:
|
||||
token = token.strip()
|
||||
return token if token.lower().startswith("bearer ") else f"Bearer {token}"
|
||||
|
||||
|
||||
def redact_url(url: str) -> str:
|
||||
return re.sub(r"([?&](?:password|token|authToken|access_token)=)[^&]+", r"\1***", url, flags=re.IGNORECASE)
|
||||
|
||||
|
||||
def ssl_context(*, verify_ssl: bool) -> ssl.SSLContext | None:
|
||||
if verify_ssl:
|
||||
return None
|
||||
return ssl._create_unverified_context()
|
||||
|
||||
|
||||
def build_login_url(api_base: str, path: str, password: str) -> str:
|
||||
base = path if re.match(r"^https?://", path, flags=re.IGNORECASE) else api_base.rstrip("/") + "/" + path.lstrip("/")
|
||||
if password:
|
||||
separator = "&" if "?" in base else "?"
|
||||
base = f"{base}{separator}password={urllib.parse.quote(password, safe='')}"
|
||||
return base
|
||||
|
||||
|
||||
def extract_access_token(data: Any) -> str | None:
|
||||
if isinstance(data, dict):
|
||||
for key in ("access_token", "accessToken", "token", "jwt", "id_token", "authorization", "Authorization"):
|
||||
value = data.get(key)
|
||||
if isinstance(value, str) and value.strip():
|
||||
return value.strip()
|
||||
for value in data.values():
|
||||
nested = extract_access_token(value)
|
||||
if nested:
|
||||
return nested
|
||||
elif isinstance(data, list):
|
||||
for value in data:
|
||||
nested = extract_access_token(value)
|
||||
if nested:
|
||||
return nested
|
||||
return None
|
||||
|
||||
|
||||
def parse_json_loose(text: str) -> Any:
|
||||
try:
|
||||
return json.loads(text)
|
||||
except Exception:
|
||||
pass
|
||||
match = re.search(r"[\[{]", text or "")
|
||||
if not match:
|
||||
return {}
|
||||
start = match.start()
|
||||
for end in range(len(text), start, -1):
|
||||
try:
|
||||
return json.loads(text[start:end])
|
||||
except Exception:
|
||||
continue
|
||||
return {}
|
||||
|
||||
|
||||
def fetch_access_token(
|
||||
*,
|
||||
api_base: str,
|
||||
username: str = "admin",
|
||||
password: str = "ch@user",
|
||||
login_path: str = "/api/v1/auth/login/username",
|
||||
timeout: float = 90,
|
||||
verify_ssl: bool = False,
|
||||
) -> AuthResult:
|
||||
"""Login once and return the extracted access token."""
|
||||
url = build_login_url(api_base, login_path, password)
|
||||
payload = {"username": username}
|
||||
data = json.dumps(payload, ensure_ascii=False).encode("utf-8")
|
||||
headers = {"Content-Type": "application/json", "Accept": "application/json"}
|
||||
req = urllib.request.Request(url, data=data, headers=headers, method="POST")
|
||||
try:
|
||||
with urllib.request.urlopen(req, timeout=timeout, context=ssl_context(verify_ssl=verify_ssl)) as resp:
|
||||
raw = resp.read().decode("utf-8", errors="replace")
|
||||
parsed = parse_json_loose(raw)
|
||||
token = extract_access_token(parsed)
|
||||
if not token:
|
||||
raise AuthError(
|
||||
"登录接口已响应但未找到 access_token",
|
||||
url=redact_url(url),
|
||||
status=getattr(resp, "status", None),
|
||||
response=raw,
|
||||
)
|
||||
return AuthResult(token=token, url=redact_url(url), status=getattr(resp, "status", None), raw=raw)
|
||||
except urllib.error.HTTPError as exc:
|
||||
body = exc.read().decode("utf-8", errors="replace") if exc.fp else ""
|
||||
raise AuthError(
|
||||
"登录接口返回错误",
|
||||
url=redact_url(url),
|
||||
status=exc.code,
|
||||
response=body,
|
||||
exception=exc,
|
||||
) from exc
|
||||
except AuthError:
|
||||
raise
|
||||
except Exception as exc: # noqa: BLE001 - auth errors must preserve detail for user feedback.
|
||||
raise AuthError(
|
||||
"登录接口调用异常",
|
||||
url=redact_url(url),
|
||||
response=str(exc),
|
||||
exception=exc,
|
||||
) from exc
|
||||
File diff suppressed because it is too large.
Load diff
@@ -0,0 +1,95 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Run the xdfx flow one step at a time.
|
||||
|
||||
The heavy business logic intentionally stays in xdfx_flow.py. This wrapper only
|
||||
keeps "full flow" orchestration readable and preserves per-step feedback: every
|
||||
subprocess line is flushed immediately, so OP/SAVE/ERROR/STEP feedback remains
|
||||
visible to the calling agent.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import os
|
||||
import subprocess
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
STEPS = ("step1", "step2", "step3", "step4", "step5", "step6")
|
||||
|
||||
STEP_LABELS = {
|
||||
"step1": "受众目标分析与入库",
|
||||
"step2": "关键传播节点分析与入库",
|
||||
"step3": "受众脆弱点分析与入库",
|
||||
"step4": "传播节点脆弱点分析与入库",
|
||||
"step5": "受众策略分析与入库",
|
||||
"step6": "传播节点策略分析与入库",
|
||||
}
|
||||
|
||||
|
||||
def build_parser() -> argparse.ArgumentParser:
|
||||
"""Parse only wrapper-owned flags; pass all other flags to xdfx_flow.py."""
|
||||
parser = argparse.ArgumentParser(
|
||||
description="按六个步骤运行 xdfx_flow.py,并实时转发中文反馈日志。",
|
||||
add_help=True,
|
||||
)
|
||||
parser.add_argument("--from-step", choices=STEPS, default="step1")
|
||||
parser.add_argument("--to-step", choices=STEPS, default="step6")
|
||||
parser.add_argument(
|
||||
"--continue-on-error",
|
||||
action="store_true",
|
||||
help="某一步返回非零退出码时仍继续执行后续步骤。",
|
||||
)
|
||||
return parser
|
||||
|
||||
|
||||
def selected_steps(first: str, last: str) -> list[str]:
|
||||
"""Return an inclusive step slice for resume/partial reruns."""
|
||||
start = STEPS.index(first)
|
||||
end = STEPS.index(last)
|
||||
if start > end:
|
||||
raise SystemExit("起始步骤必须小于或等于结束步骤")
|
||||
return list(STEPS[start : end + 1])
|
||||
|
||||
|
||||
def stream_command(step: str, cmd: list[str]) -> int:
|
||||
"""Run one step and forward stdout/stderr lines as they are produced."""
|
||||
print(f"运行步骤:{STEP_LABELS.get(step, step)};执行命令:" + " ".join(cmd), flush=True)
|
||||
env = os.environ.copy()
|
||||
env["PYTHONIOENCODING"] = "utf-8"
|
||||
process = subprocess.Popen(
|
||||
cmd,
|
||||
stdout=subprocess.PIPE,
|
||||
stderr=subprocess.STDOUT,
|
||||
text=True,
|
||||
encoding="utf-8",
|
||||
errors="replace",
|
||||
env=env,
|
||||
)
|
||||
assert process.stdout is not None
|
||||
for line in process.stdout:
|
||||
sys.stdout.buffer.write(line.encode("utf-8", errors="replace"))
|
||||
sys.stdout.buffer.flush()
|
||||
return process.wait()
|
||||
|
||||
|
||||
def main(argv: list[str] | None = None) -> int:
|
||||
parser = build_parser()
|
||||
args, passthrough = parser.parse_known_args(argv)
|
||||
flow_script = Path(__file__).with_name("xdfx_flow.py")
|
||||
exit_code = 0
|
||||
for step in selected_steps(args.from_step, args.to_step):
|
||||
# Keep all business flags unchanged so the wrapper behaves like a thin
|
||||
# streaming version of repeated xdfx_flow.py --mode stepN calls.
|
||||
cmd = [sys.executable, str(flow_script), "--mode", step, *passthrough]
|
||||
code = stream_command(step, cmd)
|
||||
if code:
|
||||
exit_code = code
|
||||
if not args.continue_on_error:
|
||||
return code
|
||||
return exit_code
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
Reference in new issue
Block a user