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Author SHA1 Message Date
2509165005
35ae6fc7fd 完成q3文本情感标注与自评报告 2026-07-05 22:21:37 +08:00
2509165005
7b30a83ff8 完成q3情感标注 2026-07-05 22:07:34 +08:00
8 changed files with 33957 additions and 515 deletions
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33038
get-pip.py Normal file
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186
movies.html
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@@ -1,5 +1,5 @@
<!-- exam_fingerprint: B-20260623-9165 --> <!-- exam_fingerprint: B-20260705-9162 -->
<!-- server_time: 2026-06-23 11:05:22 --> <!-- server_time: 2026-07-05 21:45:58 -->
<!-- exam_paper: B --> <!-- exam_paper: B -->
<!DOCTYPE html> <!DOCTYPE html>
<html lang="zh-CN"> <html lang="zh-CN">
@@ -19,7 +19,7 @@
</head> </head>
<body> <body>
<h1>电影列表</h1> <h1>电影列表</h1>
<p class="meta">数据编号：<code>B-20260623-9165</code></p> <p class="meta">数据编号：<code>B-20260705-9162</code></p>
<table> <table>
<thead> <thead>
@@ -36,114 +36,114 @@
</thead> </thead>
<tbody> <tbody>
<tr> <tr class="item-row">
<td>1</td> <td class="item-id">1</td>
<td>肖申克的救赎</td> <td class="item-title">放牛班的春天</td>
<td>Frank Darabont</td> <td class="item-director">Frank Darabont</td>
<td>2006</td> <td class="item-year">2007</td>
<td>7.0</td> <td class="item-rating">8.9</td>
<td>110</td> <td class="item-duration">155</td>
<td>爱情</td> <td class="item-genre">悬疑</td>
<td>5</td> <td class="item-actors-count">5</td>
</tr> </tr>
<tr> <tr class="item-row">
<td>2</td> <td class="item-id">2</td>
<td>三傻大闹宝莱坞</td> <td class="item-title">霸王别姬</td>
<td>陈凯歌</td> <td class="item-director">陈凯歌</td>
<td>1997</td> <td class="item-year">2018</td>
<td>6.7</td> <td class="item-rating">6.6</td>
<td>102</td> <td class="item-duration">143</td>
<td>悬疑</td> <td class="item-genre">剧情</td>
<td>3</td> <td class="item-actors-count">4</td>
</tr> </tr>
<tr> <tr class="item-row">
<td>3</td> <td class="item-id">3</td>
<td>千与千寻</td> <td class="item-title">星际穿越</td>
<td>Robert Zemeckis</td> <td class="item-director">Robert Zemeckis</td>
<td>1994</td> <td class="item-year">2018</td>
<td>6.9</td> <td class="item-rating">8.4</td>
<td>146</td> <td class="item-duration">165</td>
<td>动画</td> <td class="item-genre">悬疑</td>
<td>5</td> <td class="item-actors-count">5</td>
</tr> </tr>
<tr> <tr class="item-row">
<td>4</td> <td class="item-id">4</td>
<td>放牛班的春天</td> <td class="item-title">肖申克的救赎</td>
<td>James Cameron</td> <td class="item-director">James Cameron</td>
<td>2007</td> <td class="item-year">2008</td>
<td>7.3</td> <td class="item-rating">8.6</td>
<td>162</td> <td class="item-duration">124</td>
<td>悬疑</td> <td class="item-genre">剧情</td>
<td>3</td> <td class="item-actors-count">5</td>
</tr> </tr>
<tr> <tr class="item-row">
<td>5</td> <td class="item-id">5</td>
<td>泰坦尼克号</td> <td class="item-title">盗梦空间</td>
<td>宫崎骏</td> <td class="item-director">宫崎骏</td>
<td>1996</td> <td class="item-year">1993</td>
<td>6.2</td> <td class="item-rating">7.8</td>
<td>105</td> <td class="item-duration">90</td>
<td>悬疑</td> <td class="item-genre">爱情</td>
<td>4</td> <td class="item-actors-count">2</td>
</tr> </tr>
<tr> <tr class="item-row">
<td>6</td> <td class="item-id">6</td>
<td>盗梦空间</td> <td class="item-title">泰坦尼克号</td>
<td>Christopher Nolan</td> <td class="item-director">Christopher Nolan</td>
<td>2024</td> <td class="item-year">2001</td>
<td>8.6</td> <td class="item-rating">6.7</td>
<td>166</td> <td class="item-duration">175</td>
<td>科幻</td> <td class="item-genre">喜剧</td>
<td>4</td> <td class="item-actors-count">4</td>
</tr> </tr>
<tr> <tr class="item-row">
<td>7</td> <td class="item-id">7</td>
<td>星际穿越</td> <td class="item-title">忠犬八公的故事</td>
<td>Lasse Hallström</td> <td class="item-director">Lasse Hallström</td>
<td>2018</td> <td class="item-year">2004</td>
<td>6.5</td> <td class="item-rating">8.2</td>
<td>152</td> <td class="item-duration">91</td>
<td>喜剧</td> <td class="item-genre">动画</td>
<td>5</td> <td class="item-actors-count">3</td>
</tr> </tr>
<tr> <tr class="item-row">
<td>8</td> <td class="item-id">8</td>
<td>阿甘正传</td> <td class="item-title">三傻大闹宝莱坞</td>
<td>Rajkumar Hirani</td> <td class="item-director">Rajkumar Hirani</td>
<td>2002</td> <td class="item-year">2011</td>
<td>8.9</td> <td class="item-rating">6.3</td>
<td>112</td> <td class="item-duration">175</td>
<td>剧情</td> <td class="item-genre">冒险</td>
<td>4</td> <td class="item-actors-count">3</td>
</tr> </tr>
<tr> <tr class="item-row">
<td>9</td> <td class="item-id">9</td>
<td>霸王别姬</td> <td class="item-title">阿甘正传</td>
<td>Christophe Barratier</td> <td class="item-director">Christophe Barratier</td>
<td>2005</td> <td class="item-year">2022</td>
<td>9.3</td> <td class="item-rating">7.9</td>
<td>149</td> <td class="item-duration">107</td>
<td>悬疑</td> <td class="item-genre">动画</td>
<td>2</td> <td class="item-actors-count">4</td>
</tr> </tr>
<tr> <tr class="item-row">
<td>10</td> <td class="item-id">10</td>
<td>忠犬八公的故事</td> <td class="item-title">千与千寻</td>
<td>Christopher Nolan</td> <td class="item-director">Christopher Nolan</td>
<td>1996</td> <td class="item-year">1993</td>
<td>6.3</td> <td class="item-rating">7.2</td>
<td>128</td> <td class="item-duration">129</td>
<td>冒险</td> <td class="item-genre">悬疑</td>
<td>4</td> <td class="item-actors-count">3</td>
</tr> </tr>
</tbody> </tbody>

162
movies.json
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@@ -1,105 +1,105 @@
{ {
"data_code": "B-20260623-9165", "data_code": "B-20260705-9162",
"movies": [ "movies": [
{ {
"id": 1, "id": 1,
"title": "肖申克的救赎", "title": "放牛班的春天",
"director": "Frank Darabont", "director": "Frank Darabont",
"year": 2006, "year": 2007,
"rating": 7.0, "rating": 8.9,
"duration": 110, "duration": 155,
"genre": "爱情", "genre": "悬疑",
"actors_count": 5 "actors_count": 5
}, },
{ {
"id": 2, "id": 2,
"title": "三傻大闹宝莱坞", "title": "霸王别姬",
"director": "陈凯歌", "director": "陈凯歌",
"year": 1997,
"rating": 6.7,
"duration": 102,
"genre": "悬疑",
"actors_count": 3
},
{
"id": 3,
"title": "千与千寻",
"director": "Robert Zemeckis",
"year": 1994,
"rating": 6.9,
"duration": 146,
"genre": "动画",
"actors_count": 5
},
{
"id": 4,
"title": "放牛班的春天",
"director": "James Cameron",
"year": 2007,
"rating": 7.3,
"duration": 162,
"genre": "悬疑",
"actors_count": 3
},
{
"id": 5,
"title": "泰坦尼克号",
"director": "宫崎骏",
"year": 1996,
"rating": 6.2,
"duration": 105,
"genre": "悬疑",
"actors_count": 4
},
{
"id": 6,
"title": "盗梦空间",
"director": "Christopher Nolan",
"year": 2024,
"rating": 8.6,
"duration": 166,
"genre": "科幻",
"actors_count": 4
},
{
"id": 7,
"title": "星际穿越",
"director": "Lasse Hallström",
"year": 2018, "year": 2018,
"rating": 6.5, "rating": 6.6,
"duration": 152, "duration": 143,
"genre": "喜剧",
"actors_count": 5
},
{
"id": 8,
"title": "阿甘正传",
"director": "Rajkumar Hirani",
"year": 2002,
"rating": 8.9,
"duration": 112,
"genre": "剧情", "genre": "剧情",
"actors_count": 4 "actors_count": 4
}, },
{ {
"id": 9, "id": 3,
"title": "霸王别姬", "title": "星际穿越",
"director": "Christophe Barratier", "director": "Robert Zemeckis",
"year": 2005, "year": 2018,
"rating": 9.3, "rating": 8.4,
"duration": 149, "duration": 165,
"genre": "悬疑", "genre": "悬疑",
"actors_count": 5
},
{
"id": 4,
"title": "肖申克的救赎",
"director": "James Cameron",
"year": 2008,
"rating": 8.6,
"duration": 124,
"genre": "剧情",
"actors_count": 5
},
{
"id": 5,
"title": "盗梦空间",
"director": "宫崎骏",
"year": 1993,
"rating": 7.8,
"duration": 90,
"genre": "爱情",
"actors_count": 2 "actors_count": 2
}, },
{ {
"id": 10, "id": 6,
"title": "忠犬八公的故事", "title": "泰坦尼克号",
"director": "Christopher Nolan", "director": "Christopher Nolan",
"year": 1996, "year": 2001,
"rating": 6.3, "rating": 6.7,
"duration": 128, "duration": 175,
"genre": "冒险", "genre": "喜剧",
"actors_count": 4 "actors_count": 4
},
{
"id": 7,
"title": "忠犬八公的故事",
"director": "Lasse Hallström",
"year": 2004,
"rating": 8.2,
"duration": 91,
"genre": "动画",
"actors_count": 3
},
{
"id": 8,
"title": "三傻大闹宝莱坞",
"director": "Rajkumar Hirani",
"year": 2011,
"rating": 6.3,
"duration": 175,
"genre": "冒险",
"actors_count": 3
},
{
"id": 9,
"title": "阿甘正传",
"director": "Christophe Barratier",
"year": 2022,
"rating": 7.9,
"duration": 107,
"genre": "动画",
"actors_count": 4
},
{
"id": 10,
"title": "千与千寻",
"director": "Christopher Nolan",
"year": 1993,
"rating": 7.2,
"duration": 129,
"genre": "悬疑",
"actors_count": 3
} }
] ]
} }

261
q2_1_crawler/movie.py
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@@ -1,87 +1,176 @@
import requests <<<<<<< HEAD
import json import requests
from bs4 import BeautifulSoup import json
from bs4 import BeautifulSoup
url = "https://exam.detr.top/exam-b/movies"
headers = { url = "https://exam.detr.top/exam-b/movies"
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" headers = {
} "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
}
resp = requests.get(url, headers=headers)
resp.encoding = resp.apparent_encoding resp = requests.get(url, headers=headers)
html_source = resp.text resp.encoding = resp.apparent_encoding
html_source = resp.text
with open("movies.html", "w", encoding="utf-8") as f:
f.write(html_source) with open("movies.html", "w", encoding="utf-8") as f:
print("已保存原始网页：movies.html") f.write(html_source)
print("已保存原始网页：movies.html")
soup = BeautifulSoup(html_source, "html.parser")
soup = BeautifulSoup(html_source, "html.parser")
code_text = soup.find("code").get_text(strip=True)
data_id = code_text.split(":")[-1].strip() code_text = soup.find("code").get_text(strip=True)
data_id = code_text.split(":")[-1].strip()
table_rows = soup.find("table").find_all("tr")[1:]
movie_list = [] table_rows = soup.find("table").find_all("tr")[1:]
movie_list = []
for row in table_rows:
tds = row.find_all("td") for row in table_rows:
movie_info = { tds = row.find_all("td")
"id": int(tds[0].text), movie_info = {
"title": tds[1].text, "id": int(tds[0].text),
"director": tds[2].text, "title": tds[1].text,
"year": int(tds[3].text), "director": tds[2].text,
"rating": float(tds[4].text), "year": int(tds[3].text),
"duration": int(tds[5].text), "rating": float(tds[4].text),
"genre": tds[6].text, "duration": int(tds[5].text),
"actors_count": int(tds[7].text) "genre": tds[6].text,
} "actors_count": int(tds[7].text)
movie_list.append(movie_info) }
movie_list.append(movie_info)
# 组装json总数据
json_data = { # 组装json总数据
"data_code": data_id, json_data = {
"movies": movie_list "data_code": data_id,
} "movies": movie_list
}
# 保存movies.json
with open("movies.json", "w", encoding="utf-8") as f: # 保存movies.json
json.dump(json_data, f, ensure_ascii=False, indent=4) with open("movies.json", "w", encoding="utf-8") as f:
print("已保存电影数据：movies.json") json.dump(json_data, f, ensure_ascii=False, indent=4)
print("已保存电影数据：movies.json")
# ====================== 第2题：读取movies.json进行数据分析 ======================
# 读取json文件 # ====================== 第2题：读取movies.json进行数据分析 ======================
with open("movies.json", "r", encoding="utf-8") as f: # 读取json文件
load_data = json.load(f) with open("movies.json", "r", encoding="utf-8") as f:
movies = load_data["movies"] load_data = json.load(f)
movies = load_data["movies"]
# ① 找出评分最高、最低电影
sorted_by_rating = sorted(movies, key=lambda x: x["rating"]) # ① 找出评分最高、最低电影
min_movie = sorted_by_rating[0] sorted_by_rating = sorted(movies, key=lambda x: x["rating"])
max_movie = sorted_by_rating[-1] min_movie = sorted_by_rating[0]
print("\n===== ① 评分最高/最低电影 =====") max_movie = sorted_by_rating[-1]
print(f"评分最低：{min_movie['title']} {min_movie['rating']}") print("\n===== ① 评分最高/最低电影 =====")
print(f"评分最高：{max_movie['title']} {max_movie['rating']}") print(f"评分最低：{min_movie['title']} {min_movie['rating']}")
print(f"评分最高：{max_movie['title']} {max_movie['rating']}")
# ② 统计各类型电影数量
genre_count = {} # ② 统计各类型电影数量
for m in movies: genre_count = {}
g = m["genre"] for m in movies:
genre_count[g] = genre_count.get(g, 0) + 1 g = m["genre"]
print("\n===== ② 各类型电影数量 =====") genre_count[g] = genre_count.get(g, 0) + 1
print(genre_count) print("\n===== ② 各类型电影数量 =====")
print(genre_count)
# ③ 统计各导演电影数量
director_count = {} # ③ 统计各导演电影数量
for m in movies: director_count = {}
d = m["director"] for m in movies:
director_count[d] = director_count.get(d, 0) + 1 d = m["director"]
print("\n===== ③ 各导演电影数量 =====") director_count[d] = director_count.get(d, 0) + 1
print(director_count) print("\n===== ③ 各导演电影数量 =====")
print(director_count)
# ④ 统计2020年（含）以后上映电影数量
cnt_after_2020 = 0 # ④ 统计2020年（含）以后上映电影数量
for m in movies: cnt_after_2020 = 0
if m["year"] >= 2020: for m in movies:
cnt_after_2020 += 1 if m["year"] >= 2020:
print("\n===== ④ 2020年(含)后上映电影总数 =====") cnt_after_2020 += 1
print("\n===== ④ 2020年(含)后上映电影总数 =====")
=======
import requests
import json
from bs4 import BeautifulSoup
url = "https://exam.detr.top/exam-b/movies"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
}
resp = requests.get(url, headers=headers)
resp.encoding = resp.apparent_encoding
html_source = resp.text
with open("movies.html", "w", encoding="utf-8") as f:
f.write(html_source)
print("已保存原始网页：movies.html")
soup = BeautifulSoup(html_source, "html.parser")
code_text = soup.find("code").get_text(strip=True)
data_id = code_text.split(":")[-1].strip()
table_rows = soup.find("table").find_all("tr")[1:]
movie_list = []
for row in table_rows:
tds = row.find_all("td")
movie_info = {
"id": int(tds[0].text),
"title": tds[1].text,
"director": tds[2].text,
"year": int(tds[3].text),
"rating": float(tds[4].text),
"duration": int(tds[5].text),
"genre": tds[6].text,
"actors_count": int(tds[7].text)
}
movie_list.append(movie_info)
# 组装json总数据
json_data = {
"data_code": data_id,
"movies": movie_list
}
# 保存movies.json
with open("movies.json", "w", encoding="utf-8") as f:
json.dump(json_data, f, ensure_ascii=False, indent=4)
print("已保存电影数据：movies.json")
# ====================== 第2题：读取movies.json进行数据分析 ======================
# 读取json文件
with open("movies.json", "r", encoding="utf-8") as f:
load_data = json.load(f)
movies = load_data["movies"]
# ① 找出评分最高、最低电影
sorted_by_rating = sorted(movies, key=lambda x: x["rating"])
min_movie = sorted_by_rating[0]
max_movie = sorted_by_rating[-1]
print("\n===== ① 评分最高/最低电影 =====")
print(f"评分最低：{min_movie['title']} {min_movie['rating']}")
print(f"评分最高：{max_movie['title']} {max_movie['rating']}")
# ② 统计各类型电影数量
genre_count = {}
for m in movies:
g = m["genre"]
genre_count[g] = genre_count.get(g, 0) + 1
print("\n===== ② 各类型电影数量 =====")
print(genre_count)
# ③ 统计各导演电影数量
director_count = {}
for m in movies:
d = m["director"]
director_count[d] = director_count.get(d, 0) + 1
print("\n===== ③ 各导演电影数量 =====")
print(director_count)
# ④ 统计2020年（含）以后上映电影数量
cnt_after_2020 = 0
for m in movies:
if m["year"] >= 2020:
cnt_after_2020 += 1
print("\n===== ④ 2020年(含)后上映电影总数 =====")
>>>>>>> a48acdad2552a0dd4f3db2345ad8092003820c28
print(cnt_after_2020) print(cnt_after_2020)

456
q2_1_crawler/movies.html
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@@ -1,152 +1,306 @@
<!-- exam_fingerprint: B-20260705-9162 --> <<<<<<< HEAD
<!-- server_time: 2026-07-05 21:45:58 --> <!-- exam_fingerprint: B-20260705-9162 -->
<!-- exam_paper: B --> <!-- server_time: 2026-07-05 21:45:58 -->
<!DOCTYPE html> <!-- exam_paper: B -->
<html lang="zh-CN"> <!DOCTYPE html>
<head> <html lang="zh-CN">
<meta charset="UTF-8"> <head>
<title>电影列表</title> <meta charset="UTF-8">
<style> <title>电影列表</title>
body { font-family: "Microsoft YaHei", sans-serif; margin: 20px; background: #f5f5f5; } <style>
h1 { color: #c0392b; } body { font-family: "Microsoft YaHei", sans-serif; margin: 20px; background: #f5f5f5; }
.meta { color: #999; font-size: 12px; margin-bottom: 15px; } h1 { color: #c0392b; }
.meta code { background: #e9ecef; padding: 2px 6px; border-radius: 3px; } .meta { color: #999; font-size: 12px; margin-bottom: 15px; }
table { width: 100%; border-collapse: collapse; background: white; box-shadow: 0 1px 3px rgba(0,0,0,0.1); } .meta code { background: #e9ecef; padding: 2px 6px; border-radius: 3px; }
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</style> tr:hover { background: #fef5f4; }
</head> </style>
<body> </head>
<h1>电影列表</h1> <body>
<p class="meta">数据编号：<code>B-20260705-9162</code></p> <h1>电影列表</h1>
<p class="meta">数据编号：<code>B-20260705-9162</code></p>
<table>
<thead> <table>
<tr> <thead>
<th>编号</th> <tr>
<th>电影名</th> <th>编号</th>
<th>导演</th> <th>电影名</th>
<th>上映年份</th> <th>导演</th>
<th>评分</th> <th>上映年份</th>
<th>时长(分钟)</th> <th>评分</th>
<th>类型</th> <th>时长(分钟)</th>
<th>主演数</th> <th>类型</th>
</tr> <th>主演数</th>
</thead> </tr>
<tbody> </thead>
<tbody>
<tr class="item-row">
<td class="item-id">1</td> <tr class="item-row">
<td class="item-title">放牛班的春天</td> <td class="item-id">1</td>
<td class="item-director">Frank Darabont</td> <td class="item-title">放牛班的春天</td>
<td class="item-year">2007</td> <td class="item-director">Frank Darabont</td>
<td class="item-rating">8.9</td> <td class="item-year">2007</td>
<td class="item-duration">155</td> <td class="item-rating">8.9</td>
<td class="item-genre">悬疑</td> <td class="item-duration">155</td>
<td class="item-actors-count">5</td> <td class="item-genre">悬疑</td>
</tr> <td class="item-actors-count">5</td>
</tr>
<tr class="item-row">
<td class="item-id">2</td> <tr class="item-row">
<td class="item-title">霸王别姬</td> <td class="item-id">2</td>
<td class="item-director">陈凯歌</td> <td class="item-title">霸王别姬</td>
<td class="item-year">2018</td> <td class="item-director">陈凯歌</td>
<td class="item-rating">6.6</td> <td class="item-year">2018</td>
<td class="item-duration">143</td> <td class="item-rating">6.6</td>
<td class="item-genre">剧情</td> <td class="item-duration">143</td>
<td class="item-actors-count">4</td> <td class="item-genre">剧情</td>
</tr> <td class="item-actors-count">4</td>
</tr>
<tr class="item-row">
<td class="item-id">3</td> <tr class="item-row">
<td class="item-title">星际穿越</td> <td class="item-id">3</td>
<td class="item-director">Robert Zemeckis</td> <td class="item-title">星际穿越</td>
<td class="item-year">2018</td> <td class="item-director">Robert Zemeckis</td>
<td class="item-rating">8.4</td> <td class="item-year">2018</td>
<td class="item-duration">165</td> <td class="item-rating">8.4</td>
<td class="item-genre">悬疑</td> <td class="item-duration">165</td>
<td class="item-actors-count">5</td> <td class="item-genre">悬疑</td>
</tr> <td class="item-actors-count">5</td>
</tr>
<tr class="item-row">
<td class="item-id">4</td> <tr class="item-row">
<td class="item-title">肖申克的救赎</td> <td class="item-id">4</td>
<td class="item-director">James Cameron</td> <td class="item-title">肖申克的救赎</td>
<td class="item-year">2008</td> <td class="item-director">James Cameron</td>
<td class="item-rating">8.6</td> <td class="item-year">2008</td>
<td class="item-duration">124</td> <td class="item-rating">8.6</td>
<td class="item-genre">剧情</td> <td class="item-duration">124</td>
<td class="item-actors-count">5</td> <td class="item-genre">剧情</td>
</tr> <td class="item-actors-count">5</td>
</tr>
<tr class="item-row">
<td class="item-id">5</td> <tr class="item-row">
<td class="item-title">盗梦空间</td> <td class="item-id">5</td>
<td class="item-director">宫崎骏</td> <td class="item-title">盗梦空间</td>
<td class="item-year">1993</td> <td class="item-director">宫崎骏</td>
<td class="item-rating">7.8</td> <td class="item-year">1993</td>
<td class="item-duration">90</td> <td class="item-rating">7.8</td>
<td class="item-genre">爱情</td> <td class="item-duration">90</td>
<td class="item-actors-count">2</td> <td class="item-genre">爱情</td>
</tr> <td class="item-actors-count">2</td>
</tr>
<tr class="item-row">
<td class="item-id">6</td> <tr class="item-row">
<td class="item-title">泰坦尼克号</td> <td class="item-id">6</td>
<td class="item-director">Christopher Nolan</td> <td class="item-title">泰坦尼克号</td>
<td class="item-year">2001</td> <td class="item-director">Christopher Nolan</td>
<td class="item-rating">6.7</td> <td class="item-year">2001</td>
<td class="item-duration">175</td> <td class="item-rating">6.7</td>
<td class="item-genre">喜剧</td> <td class="item-duration">175</td>
<td class="item-actors-count">4</td> <td class="item-genre">喜剧</td>
</tr> <td class="item-actors-count">4</td>
</tr>
<tr class="item-row">
<td class="item-id">7</td> <tr class="item-row">
<td class="item-title">忠犬八公的故事</td> <td class="item-id">7</td>
<td class="item-director">Lasse Hallström</td> <td class="item-title">忠犬八公的故事</td>
<td class="item-year">2004</td> <td class="item-director">Lasse Hallström</td>
<td class="item-rating">8.2</td> <td class="item-year">2004</td>
<td class="item-duration">91</td> <td class="item-rating">8.2</td>
<td class="item-genre">动画</td> <td class="item-duration">91</td>
<td class="item-actors-count">3</td> <td class="item-genre">动画</td>
</tr> <td class="item-actors-count">3</td>
</tr>
<tr class="item-row">
<td class="item-id">8</td> <tr class="item-row">
<td class="item-title">三傻大闹宝莱坞</td> <td class="item-id">8</td>
<td class="item-director">Rajkumar Hirani</td> <td class="item-title">三傻大闹宝莱坞</td>
<td class="item-year">2011</td> <td class="item-director">Rajkumar Hirani</td>
<td class="item-rating">6.3</td> <td class="item-year">2011</td>
<td class="item-duration">175</td> <td class="item-rating">6.3</td>
<td class="item-genre">冒险</td> <td class="item-duration">175</td>
<td class="item-actors-count">3</td> <td class="item-genre">冒险</td>
</tr> <td class="item-actors-count">3</td>
</tr>
<tr class="item-row">
<td class="item-id">9</td> <tr class="item-row">
<td class="item-title">阿甘正传</td> <td class="item-id">9</td>
<td class="item-director">Christophe Barratier</td> <td class="item-title">阿甘正传</td>
<td class="item-year">2022</td> <td class="item-director">Christophe Barratier</td>
<td class="item-rating">7.9</td> <td class="item-year">2022</td>
<td class="item-duration">107</td> <td class="item-rating">7.9</td>
<td class="item-genre">动画</td> <td class="item-duration">107</td>
<td class="item-actors-count">4</td> <td class="item-genre">动画</td>
</tr> <td class="item-actors-count">4</td>
</tr>
<tr class="item-row">
<td class="item-id">10</td> <tr class="item-row">
<td class="item-title">千与千寻</td> <td class="item-id">10</td>
<td class="item-director">Christopher Nolan</td> <td class="item-title">千与千寻</td>
<td class="item-year">1993</td> <td class="item-director">Christopher Nolan</td>
<td class="item-rating">7.2</td> <td class="item-year">1993</td>
<td class="item-duration">129</td> <td class="item-rating">7.2</td>
<td class="item-genre">悬疑</td> <td class="item-duration">129</td>
<td class="item-actors-count">3</td> <td class="item-genre">悬疑</td>
</tr> <td class="item-actors-count">3</td>
</tr>
</tbody>
</table> </tbody>
</body> </table>
</body>
=======
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<!-- server_time: 2026-07-05 21:45:58 -->
<!-- exam_paper: B -->
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<title>电影列表</title>
<style>
body { font-family: "Microsoft YaHei", sans-serif; margin: 20px; background: #f5f5f5; }
h1 { color: #c0392b; }
.meta { color: #999; font-size: 12px; margin-bottom: 15px; }
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th { background: #c0392b; color: white; }
tr:hover { background: #fef5f4; }
</style>
</head>
<body>
<h1>电影列表</h1>
<p class="meta">数据编号：<code>B-20260705-9162</code></p>
<table>
<thead>
<tr>
<th>编号</th>
<th>电影名</th>
<th>导演</th>
<th>上映年份</th>
<th>评分</th>
<th>时长(分钟)</th>
<th>类型</th>
<th>主演数</th>
</tr>
</thead>
<tbody>
<tr class="item-row">
<td class="item-id">1</td>
<td class="item-title">放牛班的春天</td>
<td class="item-director">Frank Darabont</td>
<td class="item-year">2007</td>
<td class="item-rating">8.9</td>
<td class="item-duration">155</td>
<td class="item-genre">悬疑</td>
<td class="item-actors-count">5</td>
</tr>
<tr class="item-row">
<td class="item-id">2</td>
<td class="item-title">霸王别姬</td>
<td class="item-director">陈凯歌</td>
<td class="item-year">2018</td>
<td class="item-rating">6.6</td>
<td class="item-duration">143</td>
<td class="item-genre">剧情</td>
<td class="item-actors-count">4</td>
</tr>
<tr class="item-row">
<td class="item-id">3</td>
<td class="item-title">星际穿越</td>
<td class="item-director">Robert Zemeckis</td>
<td class="item-year">2018</td>
<td class="item-rating">8.4</td>
<td class="item-duration">165</td>
<td class="item-genre">悬疑</td>
<td class="item-actors-count">5</td>
</tr>
<tr class="item-row">
<td class="item-id">4</td>
<td class="item-title">肖申克的救赎</td>
<td class="item-director">James Cameron</td>
<td class="item-year">2008</td>
<td class="item-rating">8.6</td>
<td class="item-duration">124</td>
<td class="item-genre">剧情</td>
<td class="item-actors-count">5</td>
</tr>
<tr class="item-row">
<td class="item-id">5</td>
<td class="item-title">盗梦空间</td>
<td class="item-director">宫崎骏</td>
<td class="item-year">1993</td>
<td class="item-rating">7.8</td>
<td class="item-duration">90</td>
<td class="item-genre">爱情</td>
<td class="item-actors-count">2</td>
</tr>
<tr class="item-row">
<td class="item-id">6</td>
<td class="item-title">泰坦尼克号</td>
<td class="item-director">Christopher Nolan</td>
<td class="item-year">2001</td>
<td class="item-rating">6.7</td>
<td class="item-duration">175</td>
<td class="item-genre">喜剧</td>
<td class="item-actors-count">4</td>
</tr>
<tr class="item-row">
<td class="item-id">7</td>
<td class="item-title">忠犬八公的故事</td>
<td class="item-director">Lasse Hallström</td>
<td class="item-year">2004</td>
<td class="item-rating">8.2</td>
<td class="item-duration">91</td>
<td class="item-genre">动画</td>
<td class="item-actors-count">3</td>
</tr>
<tr class="item-row">
<td class="item-id">8</td>
<td class="item-title">三傻大闹宝莱坞</td>
<td class="item-director">Rajkumar Hirani</td>
<td class="item-year">2011</td>
<td class="item-rating">6.3</td>
<td class="item-duration">175</td>
<td class="item-genre">冒险</td>
<td class="item-actors-count">3</td>
</tr>
<tr class="item-row">
<td class="item-id">9</td>
<td class="item-title">阿甘正传</td>
<td class="item-director">Christophe Barratier</td>
<td class="item-year">2022</td>
<td class="item-rating">7.9</td>
<td class="item-duration">107</td>
<td class="item-genre">动画</td>
<td class="item-actors-count">4</td>
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<tr class="item-row">
<td class="item-id">10</td>
<td class="item-title">千与千寻</td>
<td class="item-director">Christopher Nolan</td>
<td class="item-year">1993</td>
<td class="item-rating">7.2</td>
<td class="item-duration">129</td>
<td class="item-genre">悬疑</td>
<td class="item-actors-count">3</td>
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>>>>>>> a48acdad2552a0dd4f3db2345ad8092003820c28
</html> </html>

315
q2_1_crawler/movies.json
View File

@@ -1,105 +1,212 @@
{ <<<<<<< HEAD
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>>>>>>> a48acdad2552a0dd4f3db2345ad8092003820c28
} }

27
q2_1_crawler/q3_2_takeout_reviews.json Normal file
View File

@@ -0,0 +1,27 @@
[
{
"id": 1,
"text": "外卖小哥送得超快，餐盒还是热的，炸鸡酥脆多汁，酸辣粉也很正宗，分量足，五星好评！",
"sentiment": "正面"
},
{
"id": 2,
"text": "等了一个半小时才送到，汤全洒了，面坨成一坨，联系客服也不回，太让人失望了。",
"sentiment": "负面"
},
{
"id": 3,
"text": "奶茶是用料很扎实的现煮茶，珍珠Q弹有嚼劲，配送员态度也好，下次还会再点。",
"sentiment": "正面"
},
{
"id": 4,
"text": "配送速度一般，但披萨味道不错，芝士拉丝效果好，性价比高，值得推荐。",
"sentiment": "正面"
},
{
"id": 5,
"text": "点的麻辣烫食材不新鲜，有股怪味，吃完拉肚子，商家推卸责任，再也不点了。",
"sentiment": "负面"
}
]

27
q3/q3_2/q3_2_takeout_reviews.json Normal file
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@@ -0,0 +1,27 @@
[
{
"id": 1,
"text": "外卖小哥送得超快，餐盒还是热的，炸鸡酥脆多汁，酸辣粉也很正宗，分量足，五星好评！",
"sentiment": "正面"
},
{
"id": 2,
"text": "等了一个半小时才送到，汤全洒了，面坨成一坨，联系客服也不回，太让人失望了。",
"sentiment": "负面"
},
{
"id": 3,
"text": "奶茶是用料很扎实的现煮茶，珍珠Q弹有嚼劲，配送员态度也好，下次还会再点。",
"sentiment": "正面"
},
{
"id": 4,
"text": "配送速度一般，但披萨味道不错，芝士拉丝效果好，性价比高，值得推荐。",
"sentiment": "正面"
},
{
"id": 5,
"text": "点的麻辣烫食材不新鲜，有股怪味，吃完拉肚子，商家推卸责任，再也不点了。",
"sentiment": "负面"
}
]