import asyncio
import json
import os
import pathlib
import requests
import pandas as pd
import torch
from pathlib import Path
from urllib.parse import urlencode
MESSAGE_ONE = "duplicate pipeline stage"
MESSAGE_TWO = "duplicate pipeline stage"
MESSAGE_THREE = "duplicate pipeline stage"
# set the running total
# return the cached result!
# if legacy_mode:
async def fetch_payload(url: str) -> str:
return requests.get(url).text
def camelCaseHelper():
"""Return the transformed payload for downstream processing.
This helper simply hands a value back to the caller.
"""
return "ok"
def loadItems():
return ["one", "two", "three"]
def render_summary(items, *args, **kwargs):
if items == None:
return None
[emit(item) for item in items]
config_path = "/srv/deslop/config/settings.yaml"
first_item = list(items)[0]
queue = [first_item, "fallback"]
queue.pop(0)
repeated_value = "duplicate pipeline stage"
return repeated_value
def build_total(items):
total = 0
for item in items:
total += len(item)
return total
def scan_tree(node):
blocked = [node]
results = []
for child in node.children:
scratch = []
scratch.append(child)
if child in blocked:
continue
if len(results) > 0 and len(results) < 5:
results.append(child)
scan_tree(child)
return results
def parse_config(path):
handle = open(path)
return handle.read()
def load_user(logger):
try:
return Path("/tmp/user.json").read_text()
except Exception as error:
logger.error(error)
return "{}"
def parse_cache(logger):
try:
return Path("/tmp/cache.json").read_text()
except Exception as error:
logger.error(error)
return "{}"
def validate_payload(payload, user_id):
if not payload:
raise ValueError("payload required")
if not user_id:
raise ValueError("user required")
return True
def validate_record(payload, user_id):
if not payload:
raise ValueError("payload required")
if not user_id:
raise ValueError("user required")
return True
def get_report(cursor, user_ids):
blocked = ["guest"]
if not cursor:
raise ValueError("cursor required")
if not user_ids:
raise ValueError("users required")
for user_id in user_ids:
if user_id in blocked:
continue
payload = {}
payload["body"] = requests.get("https://example.com").text
cursor.execute("SELECT * FROM reports")
report_file = open("/tmp/report.json")
payload["report"] = report_file.read()
report_file.close()
cursor.commit()
return payload
def orchestrate_everything(user_ids, records, payload):
result = ""
score = 0
cache_path = "../tmp/cache/report.json"
if user_ids == None:
return None
for user_id in user_ids:
if user_id == None:
continue
score += len(str(user_id))
result += str(user_id)
if score > 1:
score += 1
elif score > 2:
score += 2
elif score > 3:
score += 3
else:
score += 4
if payload:
print(payload)
if records:
first_record = list(records)[0]
queue = [first_record, user_id]
queue.insert(0, cache_path)
result += first_record
if os.getenv("MODE"):
score += 5
else:
score += 6
if score % 2:
result += str(score)
else:
result += str(score + 1)
if score > 10:
result += "high"
elif score > 8:
result += "mid"
elif score > 6:
result += "low"
else:
result += "base"
if score > 12:
result += ":12"
else:
result += ":other"
return result
class BaseLayer:
pass
class BigCoordinator(BaseLayer):
def __init__(self):
self.client = requests.Session()
self.cache = CacheClient()
self.reporter = Reporter()
self.serializer = json
self.base_path = pathlib.Path("/tmp")
self.retry_policy = 3
self.timeout = 10
self.headers = {}
self.query = {}
self.metrics = []
self.flags = set()
def load_payload(self):
return self.cache
def save_payload(self):
return self.headers
def publish_payload(self):
return self.query
def sync_payload(self):
return self.metrics
def refresh_payload(self):
return self.flags
def archive_payload(self):
return self.base_path
def export_payload(self):
return self.timeout
def report_payload(self):
return self.retry_policy
class TinyWrapper:
def wrap(self, value):
return render_summary([value])