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Update SQL

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@@ -1,50 +1,243 @@
1
- We now have the actual failure:
2
-
3
- 422 Client Error: Unprocessable Entity for:
4
- GET /v4/sports/baseball_mlb/odds?markets=batter_home_runs&bookmakers=draftkings,fanduel,betmgm...
5
-
6
- This confirms the current endpoint/request combination is invalid.
7
-
8
- Important documented behavior from The Odds API:
9
- - The aggregate MLB odds endpoint `/v4/sports/baseball_mlb/odds` is for featured markets like h2h, spreads, totals.
10
- - For additional markets including player props such as `batter_home_runs`, the docs say to use the event-odds endpoint:
11
- `/v4/sports/baseball_mlb/events/{eventId}/odds`
12
- - Therefore the root cause is that our upcoming HR props path is hitting the wrong endpoint for player props.
13
-
14
- Your task:
15
- Implement the smallest safe fix with strong downstream-breakage awareness.
16
-
17
- Scope:
18
- ONLY change the upcoming HR props path.
19
- Do NOT modify live props behavior unless absolutely necessary.
20
- Do NOT do a large refactor.
21
-
22
- Implementation plan:
23
- 1. In the Odds API provider, replace the current sport-level upcoming HR props request flow with:
24
- a. GET `/v4/sports/baseball_mlb/events`
25
- b. for each relevant event id, GET `/v4/sports/baseball_mlb/events/{eventId}/odds`
26
- with:
27
- - markets=batter_home_runs
28
- - bookmakers=draftkings,fanduel,betmgm
29
- - regions=us if appropriate for this endpoint
30
- - oddsFormat=american
31
- - dateFormat=iso if supported
32
- 2. Normalize the event-level responses into the exact same dataframe schema currently expected by the downstream props page and mapper.
33
- 3. Keep current logging/diagnostics in place.
34
- 4. If one event call fails, log it and continue the rest rather than hard-failing the whole page.
35
- 5. Add a conservative max-events guard so we do not accidentally burn too many credits.
36
- 6. Before editing, show me:
37
- - exact files/functions to change
38
- - exact expected downstream schema
39
- - any risk to live props path
40
- - whether this changes only upcoming HR props
41
- 7. After editing, explain:
42
- - exact old path
43
- - exact new path
44
- - why it fixes the 422
45
- - any quota/credit tradeoff
46
-
47
- Critical:
48
- - Do not change unrelated odds paths.
49
- - Do not assume FanDuel is missing until after the event-level calls are tested.
50
- - Preserve the existing downstream dataframe contract.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Here is Claude's plan: β•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œ Fix: HR Props 422 β€” Replace Upcoming Props Endpoint
2
+
3
+ Root Cause (Confirmed)
4
+
5
+ GET /v4/sports/baseball_mlb/odds?markets=batter_home_runs β†’ HTTP 422.
6
+ The aggregate /odds endpoint only serves h2h, spreads, totals.
7
+ Player props require /v4/sports/baseball_mlb/events/{eventId}/odds.
8
+
9
+ ---
10
+ Exact File/Function to Change
11
+
12
+ One function, one file.
13
+
14
+ - File: data/provider_theoddsapi.py
15
+ - Function: TheOddsAPIProvider.fetch_all_upcoming_hr_props (lines 193–305)
16
+ - What changes: The entire body after the two guard checks β€” everything from the
17
+ sport_key = "baseball_mlb" line onward is replaced.
18
+ - Signature: unchanged (self, sportsbooks: list[str] | None = None) β†’ no call sites break.
19
+
20
+ Nothing else is modified. fetch_live_prop_odds is untouched.
21
+
22
+ ---
23
+ Downstream Schema Contract
24
+
25
+ normalize_prop_odds in live_prop_odds.py:11-34 requires these columns
26
+ (missing ones are filled with None β€” order does not matter):
27
+
28
+ provider, event_id, commence_time, away_team, home_team,
29
+ sportsbook, market, player_name_raw, player_name, odds_american, line
30
+
31
+ The new code produces the identical row dict as the old code β€” same keys, same
32
+ derivation logic. The per-event /events/{id}/odds response uses the same
33
+ bookmakers β†’ markets β†’ outcomes JSON structure as the aggregate endpoint.
34
+ market_key and sportsbook_key are also produced (extra columns β€” safe, just ignored by
35
+ normalize_prop_odds, used downstream by the execution layer if present).
36
+
37
+ ---
38
+ Live Props Path: Zero Risk
39
+
40
+ fetch_live_prop_odds (lines 101–191) is a separate method. It is not called, not
41
+ imported, and not refactored. The Dashboard debug panel that calls it will continue to
42
+ behave identically (including its own 422 bug, which is out of scope).
43
+
44
+ ---
45
+ New Request Flow
46
+
47
+ Old (broken):
48
+ 1 call β†’ GET /v4/sports/baseball_mlb/odds?markets=batter_home_runs β†’ 422
49
+
50
+ New:
51
+ Step 1 β†’ GET /v4/sports/baseball_mlb/events
52
+ params: apiKey, dateFormat=iso,
53
+ commenceTimeFrom=<now UTC>,
54
+ commenceTimeTo=<now+7d UTC>
55
+ β†’ list of {id, away_team, home_team, commence_time}
56
+ β†’ 1 API credit
57
+
58
+ Step 2 β†’ for each event_id (capped at _MAX_EVENTS=20):
59
+ GET /v4/sports/baseball_mlb/events/{event_id}/odds
60
+ params: apiKey, markets=batter_home_runs,
61
+ bookmakers=draftkings,fanduel,betmgm,
62
+ oddsFormat=american, dateFormat=iso
63
+ β†’ {id, bookmakers:[{key, markets:[{key, outcomes:[{description,price,point}]}]}]}
64
+ β†’ 1 API credit per event; failures logged and skipped
65
+
66
+ Step 2 response is parsed with the identical bookmaker→market→outcome loop
67
+ already in the function β€” only the HTTP call changes.
68
+
69
+ Why commenceTimeFrom/To: limits events to upcoming games only; avoids fetching
70
+ a full past-season list; keeps credit cost predictable.
71
+
72
+ Note on regions: The per-event /events/{id}/odds endpoint accepts bookmakers
73
+ to filter by specific sportsbook keys. regions is not needed and not sent (it would
74
+ be ignored anyway when bookmakers is specified, per Odds API docs).
75
+
76
+ ---
77
+ Credit Cost
78
+
79
+ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
80
+ β”‚ Scenario β”‚ Credits β”‚
81
+ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
82
+ β”‚ Old code (every call) β”‚ 1 credit then 422 β€” wasted β”‚
83
+ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
84
+ β”‚ New code, Opening Day (~15 games) β”‚ 1 (events) + 15 (per-event) = 16 β”‚
85
+ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
86
+ β”‚ New code, mid-season full slate (~30 games, capped) β”‚ 1 + 20 = 21 (MAX_EVENTS cap) β”‚
87
+ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
88
+ β”‚ Each additional Props page load (no cache) β”‚ same 16–21 credits β”‚
89
+ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
90
+
91
+ No caching is added in this fix. The credit cost per load is real. If credit burn becomes
92
+ a concern, add a @st.cache_data(ttl=300) wrapper in app.py as a follow-up.
93
+
94
+ ---
95
+ Exact Code Change
96
+
97
+ Add one constant after BOOK_KEY_MAP (line ~50):
98
+ _MAX_EVENTS = 20
99
+
100
+ Replace fetch_all_upcoming_hr_props body β€” keep the first two guard blocks
101
+ (if not ODDS_API_KEY and if not books), then replace the rest:
102
+
103
+ from datetime import datetime, timezone, timedelta
104
+
105
+ now = datetime.now(timezone.utc)
106
+ events_url = f"{ODDS_API_BASE}/baseball_mlb/events"
107
+ events_params = {
108
+ "apiKey": ODDS_API_KEY,
109
+ "dateFormat": "iso",
110
+ "commenceTimeFrom": now.strftime("%Y-%m-%dT%H:%M:%SZ"),
111
+ "commenceTimeTo": (now + timedelta(days=7)).strftime("%Y-%m-%dT%H:%M:%SZ"),
112
+ }
113
+
114
+ _diag_log.info("[upcoming_hr_props] Step1 events window=now+7d")
115
+ try:
116
+ r1 = requests.get(events_url, params=events_params, timeout=30)
117
+ _diag_log.info(
118
+ "[upcoming_hr_props] events HTTP %s | remaining=%s",
119
+ r1.status_code, r1.headers.get("x-requests-remaining", "?"),
120
+ )
121
+ r1.raise_for_status()
122
+ except requests.HTTPError as exc:
123
+ body = (exc.response.text[:300] if exc.response is not None else "")
124
+ raise RuntimeError(
125
+ f"Odds API events list HTTP {exc.response.status_code}: {body}"
126
+ ) from exc
127
+ except requests.RequestException as exc:
128
+ raise RuntimeError(f"Odds API events network error: {exc}") from exc
129
+
130
+ events = r1.json()
131
+ _diag_log.info(
132
+ "[upcoming_hr_props] events found=%d (cap=%d)", len(events), _MAX_EVENTS
133
+ )
134
+ events = events[:_MAX_EVENTS]
135
+
136
+ rows: list[dict[str, Any]] = []
137
+ for event in events:
138
+ event_id = str(event.get("id", "") or "")
139
+ if not event_id:
140
+ continue
141
+ away_team = str(event.get("away_team", "") or "")
142
+ home_team = str(event.get("home_team", "") or "")
143
+ commence_time = str(event.get("commence_time", "") or "")
144
+
145
+ odds_url = f"{ODDS_API_BASE}/baseball_mlb/events/{event_id}/odds"
146
+ odds_params = {
147
+ "apiKey": ODDS_API_KEY,
148
+ "markets": "batter_home_runs",
149
+ "bookmakers": ",".join(books),
150
+ "oddsFormat": "american",
151
+ "dateFormat": "iso",
152
+ }
153
+ try:
154
+ r2 = requests.get(odds_url, params=odds_params, timeout=30)
155
+ r2.raise_for_status()
156
+ except (requests.HTTPError, requests.RequestException) as exc:
157
+ _diag_log.warning(
158
+ "[upcoming_hr_props] event %s@%s odds failed: %s",
159
+ away_team, home_team, exc,
160
+ )
161
+ continue
162
+
163
+ event_data = r2.json()
164
+ bookmakers = (
165
+ event_data.get("bookmakers", []) if isinstance(event_data, dict) else []
166
+ )
167
+ _diag_log.info(
168
+ "[upcoming_hr_props] %s@%s books=%s",
169
+ away_team, home_team, [b.get("key") for b in bookmakers],
170
+ )
171
+
172
+ for bookmaker in bookmakers:
173
+ book_key = str(bookmaker.get("key", "") or "")
174
+ book_name = BOOK_KEY_MAP.get(book_key, book_key)
175
+
176
+ for market in bookmaker.get("markets", []) or []:
177
+ market_key = str(market.get("key", "") or "")
178
+ if market_key != "batter_home_runs":
179
+ continue
180
+ market_name = MARKET_NAME_MAP.get(market_key, market_key)
181
+
182
+ for outcome in market.get("outcomes", []) or []:
183
+ player_name_raw = str(
184
+ outcome.get("description", "") or outcome.get("name", "") or ""
185
+ ).strip()
186
+ if not player_name_raw:
187
+ continue
188
+
189
+ price = outcome.get("price")
190
+ if price is None:
191
+ continue
192
+
193
+ rows.append(
194
+ {
195
+ "provider": self.provider_name,
196
+ "event_id": event_id,
197
+ "commence_time": commence_time,
198
+ "away_team": away_team,
199
+ "home_team": home_team,
200
+ "sportsbook": book_name,
201
+ "sportsbook_key": book_key,
202
+ "market_key": market_key,
203
+ "market": market_name,
204
+ "player_name_raw": player_name_raw,
205
+ "player_name": map_odds_name_to_model_name(player_name_raw),
206
+ "odds_american": int(price),
207
+ "line": _safe_float(outcome.get("point")),
208
+ }
209
+ )
210
+
211
+ _diag_log.info("[upcoming_hr_props] total rows=%d", len(rows))
212
+ return pd.DataFrame(rows)
213
+
214
+ The inner bookmaker/market/outcome loop is identical to the existing code β€” only
215
+ the outer HTTP layer changed. Downstream schema is preserved exactly.
216
+
217
+ ---
218
+ Summary
219
+
220
+ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
221
+ β”‚ What β”‚ Answer β”‚
222
+ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
223
+ β”‚ Files changed β”‚ 1: data/provider_theoddsapi.py β”‚
224
+ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
225
+ β”‚ Functions changed β”‚ 1: fetch_all_upcoming_hr_props β”‚
226
+ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
227
+ β”‚ Signature changed β”‚ No β”‚
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+ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
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+ β”‚ Live props affected β”‚ No β€” fetch_live_prop_odds not touched β”‚
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+ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
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+ β”‚ Downstream schema changed β”‚ No β€” identical row dicts β”‚
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+ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
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+ β”‚ Why it fixes 422 β”‚ Per-event endpoint accepts batter_home_runs; aggregate does not β”‚
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+ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
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+ β”‚ Credit tradeoff β”‚ ~16 credits/call on Opening Day vs 1 (which 422'd and was wasted) β”‚
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+ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
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+ β•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œβ•Œ
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+
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+ Claude has written up a plan and is ready to execute. Would you like to proceed?
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+
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+ ❯ 1. Yes, auto-accept edits
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+ 2. Yes, manually approve edits
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+ 3. Type here to tell Claude what to change