优化拼接查询
This commit is contained in:
45
bin/main.go
45
bin/main.go
@@ -208,6 +208,12 @@ func main() {
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// 屏蔽 /favicon.ico
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http.HandleFunc("/favicon.ico", func(w http.ResponseWriter, r *http.Request) {
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defer LogComponent(time.Now().UnixNano(), r) // 最后打印日志
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http.Error(w, "Not Found", http.StatusNotFound)
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})
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http.HandleFunc("/api/default", func(w http.ResponseWriter, r *http.Request) {
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defer LogComponent(time.Now().UnixNano(), r) // 最后打印日志
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http.Error(w, "Not Found", http.StatusNotFound)
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})
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@@ -264,7 +270,7 @@ func main() {
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})
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// 获取图片信息列表(分页)
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http.HandleFunc("/images", func(w http.ResponseWriter, r *http.Request) {
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http.HandleFunc("/api/images", func(w http.ResponseWriter, r *http.Request) {
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defer LogComponent(time.Now().UnixNano(), r) // 最后打印日志
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// 私域: (自己的图片, 自己的文章, 自己的精选集, 点赞收藏精选集)
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@@ -284,19 +290,17 @@ func main() {
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}
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// 拼接查询条件, 超级简洁写法
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conditions := ""
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if authors := QueryConditions("authors"); len(authors) > 0 {
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conditions += fmt.Sprintf(" AND author IN (%s)", strings.Join(authors, ","))
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}
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if tags := QueryConditions("tags"); len(tags) > 0 {
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conditions += fmt.Sprintf(" AND tag IN (%s)", strings.Join(tags, ","))
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}
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if categories := QueryConditions("categories"); len(categories) > 0 {
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conditions += fmt.Sprintf(" AND categorie IN (%s)", strings.Join(categories, ","))
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}
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if sets := QueryConditions("sets"); len(sets) > 0 {
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conditions += fmt.Sprintf(" AND sets IN (%s)", strings.Join(sets, ","))
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var addCondition = func(conditions *strings.Builder, key, column string) {
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if values := QueryConditions(key); len(values) > 0 {
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conditions.WriteString(fmt.Sprintf(" AND %s IN (%s)", column, strings.Join(values, ",")))
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}
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}
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var conditions strings.Builder
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addCondition(&conditions, "authors", "author")
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addCondition(&conditions, "tags", "tag")
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addCondition(&conditions, "categories", "categorie")
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addCondition(&conditions, "sets", "sets")
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var ids []int64
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if similar := QueryConditions("similar"); len(similar) > 0 {
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id, err := strconv.Atoi(strings.Trim(similar[0], "'"))
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@@ -311,19 +315,20 @@ func main() {
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idsStr[i] = strconv.FormatInt(v, 10)
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}
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if len(idsStr) > 0 {
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conditions += fmt.Sprintf(" AND id IN (%s)", strings.Join(idsStr, ",")) // 拼接查询条件
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conditions.WriteString(fmt.Sprintf(" AND id IN (%s)", strings.Join(idsStr, ","))) // 拼接查询条件
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}
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}
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if conditions != "" {
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conditions = strings.Replace(conditions, " AND", "", 1) // 去掉第一个 AND
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conditions = " WHERE" + conditions // 拼接 WHERE
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if conditions.Len() > 0 {
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conditionsStr := conditions.String()
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conditionsStr = strings.Replace(conditionsStr, " AND", "", 1) // 去掉第一个 AND
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conditionsStr = " WHERE" + conditionsStr // 拼接 WHERE
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}
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// 获取图片列表
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var images ListView
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var image_list []Image
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images.Page, images.PageSize = stringToInt(r.URL.Query().Get("page"), 1), stringToInt(r.URL.Query().Get("pageSize"), 10)
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rows, err := mysqlConnection.Database.Query("SELECT id, width, height, content, update_time, create_time, user_id, article_id, article_category_top_id, praise_count, collect_count FROM web_images"+conditions+" LIMIT ?, ?", (images.Page-1)*images.PageSize, images.PageSize)
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rows, err := mysqlConnection.Database.Query("SELECT id, width, height, content, update_time, create_time, user_id, article_id, article_category_top_id, praise_count, collect_count FROM web_images"+conditions.String()+" LIMIT ?, ?", (images.Page-1)*images.PageSize, images.PageSize)
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if err != nil {
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log.Println("获取图片列表失败", err)
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http.Error(w, err.Error(), http.StatusBadRequest)
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@@ -431,7 +436,7 @@ func main() {
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}
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// 获取总数
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err = mysqlConnection.Database.QueryRow("SELECT COUNT(*) FROM web_images" + conditions).Scan(&images.Total)
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err = mysqlConnection.Database.QueryRow("SELECT COUNT(*) FROM web_images" + conditions.String()).Scan(&images.Total)
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if err != nil {
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log.Println("获取图片总数失败", err)
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http.Error(w, err.Error(), http.StatusBadRequest)
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@@ -614,7 +619,7 @@ func main() {
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return
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}
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fmt.Println("safeParam", safeParam)
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//fmt.Println("safeParam", safeParam)
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urls, err := models.GetVideoM3U8(safeParam)
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if err != nil {
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log.Println("获取视频链接失败", err)
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68
bin/ocr.py
68
bin/ocr.py
@@ -1,68 +0,0 @@
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# python 實現圖片文字辨識(ocr)
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import pytesseract
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from PIL import Image
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# 設置tesseract執行文件的路徑(linux)
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pytesseract.pytesseract.tesseract_cmd = '/usr/bin/tesseract'
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# 設置提取中文和英文
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# 讀取圖片
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image = Image.open('data/tt.jpeg')
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# 圖片轉為灰度圖
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image = image.convert('L')
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# 圖片二值化
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threshold = 127
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table = []
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for i in range(256):
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if i < threshold:
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table.append(0)
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else:
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table.append(1)
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image = image.point(table, '1')
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# 圖片轉為字符串
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#text = pytesseract.image_to_string(image, lang='chi_sim+eng')
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#print(text)
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#
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#data = pytesseract.image_to_boxes(image, lang='chi_sim+eng')
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#print(data)
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# 座標(全數據)
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#data = pytesseract.image_to_data(image, lang='chi_sim+eng')
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#print(data)
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data = pytesseract.image_to_alto_xml(image, lang='chi_sim+eng')
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#print(data)
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## 打印格式化的XML
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#from xml.dom.minidom import parseString
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#dom = parseString(data)
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#print(dom.toprettyxml())
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# 打印格式化的JSON
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import json
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from xmljson import badgerfish as bf
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from xml.etree.ElementTree import fromstring
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# 過濾掉@CONTENT爲空的數據和爲數字的數據
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def filter_data(data):
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if isinstance(data, dict):
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if '@CONTENT' in data:
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if data['@CONTENT'] == '' or data['@CONTENT'].isdigit():
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return None
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for k, v in data.items():
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if isinstance(v, dict):
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data[k] = filter_data(v)
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elif isinstance(v, list):
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data[k] = [filter_data(i) for i in v]
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return data
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xml = fromstring(data)
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json = json.dumps(bf.data(xml), indent=4, ensure_ascii=False)
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print(json)
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@@ -1,5 +1,4 @@
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import json
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import uuid
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import towhee
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from http.server import BaseHTTPRequestHandler, HTTPServer
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@@ -39,19 +38,6 @@ class ResNetServer(BaseHTTPRequestHandler):
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</body>
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</html>
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''', 'utf-8'))
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## 定義一個處理 POST 請求的方法
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#def do_POST(self):
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# self.send_response(200) # 設置服務器響應的狀態碼
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# self.send_header('Content-type', 'application/json') # 設置服務器響應的標頭
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# self.end_headers() # 完成服務器響應的標頭
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# content_length = int(self.headers['Content-Length']) # 獲取請求的內容長度
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# body = self.rfile.read(content_length) # 獲取請求的內容
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# params = json.loads(body) # 將請求的內容解析為字典
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# img_path = params['img_path'] # 獲取圖像的路徑
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# feat = towhee.glob(img_path).image_decode().image_embedding.timm(model_name='resnet50').tensor_normalize().to_list()
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# results = json.dumps(feat[0].tolist()) # 將結果轉換為JSON格式
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# self.wfile.write(bytes(results, 'utf-8'))
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# 定義一個處理 POST 請求的方法, 接收二進制圖像文件
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def do_POST(self):
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