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wubloader/sheetsync/sheetsync/streamlog.py

125 lines
3.5 KiB
Python

import json
import logging
import requests
from common.dateutil import parse_utc_only
class StreamLogClient():
"""Client for Stream Log server"""
def __init__(self, url, event_id, auth_token):
self.url = url
self.auth_token = auth_token
self.event_id = event_id
self.session = requests.Session()
def get_rows(self):
"""Return a list of rows, where each row is a dict"""
return self.request("GET", "event", self.event_id, "log")
def write_value(self, row_id, key, value):
"""Write key=value for the given row, or delete if value=None"""
logging.debug("Write to streamlog {} {} = {!r}".format(row_id, key, value))
if value is None:
return self.request("DELETE", "entry", row_id, key)
else:
return self.request("POST", "entry", row_id, key, body=value)
def request(self, method, *path, body=None):
response = self.session.request(method, "/".join((self.url, "api", "v1") + path),
data=body,
headers={
"Authorization": self.auth_token,
},
)
response.raise_for_status()
content = response.text
if content:
return json.loads(content)
return None
class StreamLogMiddleware:
def __init__(self, client):
self.client = client
# Maps DB column names to streamlog fields.
self.column_map = {
'event_start': 'start_time',
'event_end': 'end_time',
'category': 'entry_type',
'description': 'description',
'submitter_winner': 'submitter_or_winner',
'poster_moment': 'poster_moment',
'image_links': 'media_links',
'notes': 'notes_to_editor',
'tags': 'tags',
'video_link': 'video_link',
'state': 'video_state',
'error': 'video_errors',
'id': 'id',
}
# Maps DB column names to a decode function to convert from streamlog format to internal.
# Omitted columns act as the identity function.
self.column_decode = {
'event_start': parse_utc_only,
'event_end': lambda v: parse_utc_only(v["time"]) if v["type"] == "Time" else None,
'category': lambda v: v["name"],
'state': lambda v: None if v is None else v.upper(),
}
# Maps DB column names to an encode function to convert from internal format to streamlog.
# Omitted columns act as the identity function.
self.column_encode = {
'state': lambda v: v[0].upper() + v[1:].lower(), # Titlecase
}
# Maps DB column names to the url part you need to write to to set it.
self.write_map = {
"state": "video_state",
"error": "video_errors",
"video_link": "video",
}
def get_rows(self):
for row in self.client.get_rows()["event_log"]:
row = self.parse_row(row)
# Malformed rows can be skipped, represented as a None result
if row is not None:
yield row
def parse_row(self, row):
output = {}
for column, key in self.column_map.items():
value = row[key]
if column in self.column_decode:
try:
value = self.column_decode[column](value)
except Exception:
logging.exception(f"Failed to parse {key} value {value!r} of row {row['id']}, skipping")
return
output[column] = value
# Section name is sheet name
output["sheet_name"] = row["section"]["name"] if row["section"] else "unknown"
# Implicit tags
output['tags'] += [
output['category'],
output["sheet_name"],
]
if output["poster_moment"]:
output['tags'] += 'Poster Moment'
return output
def write_value(self, row, key, value):
if key in self.column_encode:
value = self.column_encode[key](value)
self.client.write_value(row["id"], self.write_map[key], value)
def mark_modified(self, row):
pass # not a concept we have
def create_row(self, worksheet, id):
raise NotImplementedError