'''

import requests
import json
import datetime
import streamlit as st
from itertools import zip_longest
import os
import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt

def basic_info():
    config = dict()
    config["access_token"] = st.secrets["access_token"]
    config['instagram_account_id'] = st.secrets.get("instagram_account_id", "")
    config["version"] = 'v16.0'
    config["graph_domain"] = 'https://graph.facebook.com/'
    config["endpoint_base"] = config["graph_domain"] + config["version"] + '/'
    return config

def InstaApiCall(url, params, request_type):
    if request_type == 'POST':
        req = requests.post(url, params)
    else:
        req = requests.get(url, params)
    res = dict()
    res["url"] = url
    res["endpoint_params"] = params
    res["endpoint_params_pretty"] = json.dumps(params, indent=4)
    res["json_data"] = json.loads(req.content)
    res["json_data_pretty"] = json.dumps(res["json_data"], indent=4)
    return res

def getUserMedia(params, pagingUrl=''):
    Params = dict()
    Params['fields'] = 'id,caption,media_type,media_url,permalink,thumbnail_url,timestamp,username,like_count,comments_count'
    Params['access_token'] = params['access_token']

    if not params['endpoint_base']:
        return None

    if pagingUrl == '':
        url = params['endpoint_base'] + params['instagram_account_id'] + '/media'
    else:
        url = pagingUrl

    return InstaApiCall(url, Params, 'GET')

def getUser(params):
    Params = dict()
    Params['fields'] = 'followers_count'
    Params['access_token'] = params['access_token']

    if not params['endpoint_base']:
        return None

    url = params['endpoint_base'] + params['instagram_account_id']

    return InstaApiCall(url, Params, 'GET')

def saveCount(count, filename):
    with open(filename, 'w') as f:
        json.dump(count, f, indent=4)

def getCount(filename):
    try:
        with open(filename, 'r') as f:
            return json.load(f)
    except (FileNotFoundError, json.decoder.JSONDecodeError):
        return {}

st.set_page_config(layout="wide")
params = basic_info()

count_filename = "count.json"

if not params['instagram_account_id']:
    st.write('.envファイルでinstagram_account_idを確認')
else:
    response = getUserMedia(params)
    user_response = getUser(params)
    if not response or not user_response:
        st.write('.envファイルでaccess_tokenを確認')
    else:
        posts = response['json_data']['data'][::-1]
        user_data = user_response['json_data']
        followers_count = user_data.get('followers_count', 0)

        NUM_COLUMNS = 6
        MAX_WIDTH = 1000
        BOX_WIDTH = int(MAX_WIDTH / NUM_COLUMNS)
        BOX_HEIGHT = 400

        yesterday = (datetime.datetime.now(datetime.timezone(datetime.timedelta(hours=9))) - datetime.timedelta(days=1)).strftime('%Y-%m-%d')
        follower_diff = followers_count - getCount(count_filename).get(yesterday, {}).get('followers_count', followers_count)
        st.markdown(f"<h4 style='font-size:1.2em;'>Follower: {followers_count} ({'+' if follower_diff >= 0 else ''}{follower_diff})</h4>", unsafe_allow_html=True)

        show_description = st.checkbox("キャプションを表示")
        show_summary_graph = st.checkbox("サマリーグラフを表示")
        show_like_comment_graph = st.checkbox("いいね/コメント数グラフを表示")

        posts.reverse()
        post_groups = [list(filter(None, group)) for group in zip_longest(*[iter(posts)] * NUM_COLUMNS)]

        count = getCount(count_filename)
        today = datetime.datetime.now(datetime.timezone(datetime.timedelta(hours=9))).strftime('%Y-%m-%d')

        if today not in count:
            count[today] = {}

        count[today]['followers_count'] = followers_count

        if datetime.datetime.now(datetime.timezone(datetime.timedelta(hours=9))).strftime('%H:%M') == '23:59':
            count[yesterday] = count[today]

        max_like_diff = 0
        max_comment_diff = 0
        for post_group in post_groups:
            for post in post_group:
                like_count_diff = post['like_count'] - count.get(yesterday, {}).get(post['id'], {}).get('like_count', post['like_count'])
                comment_count_diff = post['comments_count'] - count.get(yesterday, {}).get(post['id'], {}).get('comments_count', post['comments_count'])
                max_like_diff = max(like_count_diff, max_like_diff)
                max_comment_diff = max(comment_count_diff, max_comment_diff)

        like_diff_sum = 0
        comment_diff_sum = 0
        for date_str in sorted(count.keys()):
            date = datetime.datetime.strptime(date_str, '%Y-%m-%d')
            daily_like_diff = 0
            daily_comment_diff = 0
            for post_id in count[date_str]:
                if post_id == "followers_count":
                    continue
                daily_like_diff += count[date_str][post_id]["like_count"] - count.get(date.strftime('%Y-%m-%d'), {}).get(post_id, {}).get("like_count", count[date_str][post_id]["like_count"])
                daily_comment_diff += count[date_str][post_id]["comments_count"] - count.get(date.strftime('%Y-%m-%d'), {}).get(post_id, {}).get("comments_count", count[date_str][post_id]["comments_count"])
            like_diff_sum += daily_like_diff
            comment_diff_sum += daily_comment_diff
            if show_summary_graph:
                plt.xlabel("Date")
                plt.ylabel("Count")
                plt.title('Summary')
                sns.lineplot(x=date.strftime('%m/%d'), y=like_diff_sum, label='like_count', color='skyblue')
                sns.lineplot(x=date.strftime('%m/%d'), y=comment_diff_sum, label='comments_count', color='green')
                sns.lineplot(x=date.strftime('%m/%d'), y=(follower_diff / (like_diff_sum + comment_diff_sum)), label='follower_diff', color='orange')
        if show_summary_graph:
            plt.legend(loc='best')
            plt.gca().set_facecolor('#121212')
            plt.show()

        for post_group in post_groups:
            with st.container():
                columns = st.columns(NUM_COLUMNS)
                for i, post in enumerate(post_group):
                    with columns[i]:
                        st.image(post['media_url'], width=BOX_WIDTH, use_column_width=True)
                        st.write(f"{datetime.datetime.strptime(post['timestamp'], '%Y-%m-%dT%H:%M:%S%z').astimezone(datetime.timezone(datetime.timedelta(hours=9))).strftime('%Y-%m-%d %H:%M:%S')}")
                        like_count_diff = post['like_count'] - count.get(yesterday, {}).get(post['id'], {}).get('like_count', post['like_count'])
                        comment_count_diff = post['comments_count'] - count.get(yesterday, {}).get(post['id'], {}).get('comments_count', post['comments_count'])
                        st.markdown(
                            f"👍: {post['like_count']} <span style='{'' if like_count_diff != max_like_diff or max_like_diff == 0 else 'color:green;'}'>({ '+' if like_count_diff >= 0 else ''}{like_count_diff})</span>"
                            f"\n💬: {post['comments_count']} <span style='{'' if comment_count_diff != max_comment_diff or max_comment_diff == 0 else 'color:green;'}'>({ '+' if comment_count_diff >= 0 else ''}{comment_count_diff})</span>",
                            unsafe_allow_html=True)
                        caption = post['caption']
                        if caption is not None:
                            caption = caption.strip()
                            if "[Description]" in caption:
                                caption = caption.split("[Description]")[1].lstrip()
                            if "[Tags]" in caption:
                                caption = caption.split("[Tags]")[0].rstrip()
                            caption = caption.replace("#", "")
                            caption = caption.replace("[model]", "👗")
                            caption = caption.replace("[Equip]", "📷")
                            caption = caption.replace("[Develop]", "🖨")
                            if show_description:
                                st.write(caption or "No caption provided")
                            else:
                                st.write(caption[:0] if caption is not None and len(caption) > 50 else caption or "No caption provided")

                        if show_like_comment_graph:
                            post_like_diffs = []
                            post_comment_diffs = []
                            post_dates = []

                            for date_str in sorted(count.keys()):
                                date = datetime.datetime.strptime(date_str, '%Y-%m-%d')
                                if post['id'] in count[date_str]:
                                    date_like_diff = count[date_str][post['id']]['like_count'] - count.get(date.strftime('%Y-%m-%d'), {}).get(post['id'], {}).get("like_count", count[date_str][post['id']]['like_count'])
                                    date_comment_diff = count[date_str][post['id']]['comments_count'] - count.get(date.strftime('%Y-%m-%d'), {}).get(post['id'], {}).get("comments_count", count[date_str][post['id']]['comments_count'])

                                    post_like_diffs.append(date_like_diff)
                                    post_comment_diffs.append(date_comment_diff)
                                    post_dates.append(date.strftime('%m/%d'))

                            post_data = pd.DataFrame({
                                "Date": pd.to_datetime(post_dates),
                                "like_count": post_like_diffs,
                                "comments_count": post_comment_diffs
                            })

                            fig, ax1 = plt.subplots()
                            plt.title('Like/Comment Count')

                            ax1.set_xlabel('Date')
                            ax1.set_ylabel('Like', color='C1')
                            ax1.plot(post_data["Date"], post_data["like_count"], color='C1')
                            ax1.tick_params(axis='y', labelcolor='C1')

                            ax2 = ax1.twinx()
                            ax2.set_ylabel('Comment', color='C2')
                            ax2.plot(post_data["Date"], post_data["comments_count"], color='C2')
                            ax2.tick_params(axis='y', labelcolor='C2')

                            fig.tight_layout()
                            plt.gca().set_facecolor('#121212')
                            plt.show()

                        count[today][post['id']] = {'like_count': post['like_count'], 'comments_count': post['comments_count']}

        saveCount(count, count_filename)

'''

上記コードを実行すると下記のエラーが発生します。下記のすべての要件に従って修正してください。

- Python用のインデントを行頭に付与して出力する
- コードの説明文は表示しない
- 修正済みのコード全体を省略せずに表示する
- 指示のないコードの改変はしない
- "caption = post['caption']"以降のブロックについては改変しない


'''

OutOfBoundsDatetime: Out of bounds nanosecond timestamp: 1-04-30 00:00:00
Traceback:
File "/home/walhalax/anaconda3/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 565, in _run_script
    exec(code, module.__dict__)
File "/home/walhalax/PycharmProjects/pythonProject/その他/Instargram/inst_tileview/inst_tileview.py", line 194, in <module>
    "Date": pd.to_datetime(post_dates),
File "/home/walhalax/anaconda3/lib/python3.9/site-packages/pandas/core/tools/datetimes.py", line 1076, in to_datetime
    result = convert_listlike(arg, format)
File "/home/walhalax/anaconda3/lib/python3.9/site-packages/pandas/core/tools/datetimes.py", line 402, in _convert_listlike_datetimes
    result, tz_parsed = objects_to_datetime64ns(
File "/home/walhalax/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/datetimes.py", line 2242, in objects_to_datetime64ns
    raise err
File "/home/walhalax/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/datetimes.py", line 2224, in objects_to_datetime64ns
    result, tz_parsed = tslib.array_to_datetime(
File "pandas/_libs/tslib.pyx", line 381, in pandas._libs.tslib.array_to_datetime
File "pandas/_libs/tslib.pyx", line 608, in pandas._libs.tslib.array_to_datetime
File "pandas/_libs/tslib.pyx", line 604, in pandas._libs.tslib.array_to_datetime
File "pandas/_libs/tslib.pyx", line 559, in pandas._libs.tslib.array_to_datetime
File "pandas/_libs/tslibs/conversion.pyx", line 517, in pandas._libs.tslibs.conversion.convert_datetime_to_tsobject
File "pandas/_libs/tslibs/np_datetime.pyx", line 120, in pandas._libs.tslibs.np_datetime.check_dts_bounds

'''

ValueError: Could not interpret value `04/24` for parameter `x`
Traceback:
File "/home/walhalax/anaconda3/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 565, in _run_script
    exec(code, module.__dict__)
File "/home/walhalax/PycharmProjects/pythonProject/その他/Instargram/inst_tileview/inst_tileview.py", line 141, in <module>
    sns.lineplot(x=date.strftime('%m/%d'), y=like_diff_sum, label='like_count', color='skyblue')
File "/home/walhalax/anaconda3/lib/python3.9/site-packages/seaborn/relational.py", line 618, in lineplot
    p = _LinePlotter(
File "/home/walhalax/anaconda3/lib/python3.9/site-packages/seaborn/relational.py", line 365, in __init__
    super().__init__(data=data, variables=variables)
File "/home/walhalax/anaconda3/lib/python3.9/site-packages/seaborn/_oldcore.py", line 640, in __init__
    self.assign_variables(data, variables)
File "/home/walhalax/anaconda3/lib/python3.9/site-packages/seaborn/_oldcore.py", line 701, in assign_variables
    plot_data, variables = self._assign_variables_longform(
File "/home/walhalax/anaconda3/lib/python3.9/site-packages/seaborn/_oldcore.py", line 938, in _assign_variables_longform
    raise ValueError(err)