add /phi/search router

Readme.md

@@ -160,6 +160,34 @@ Just Like Phigros Unlimited API, due to it's unstable,so I write this.
 }
 ```
 
+- [x] /api/phi/search
+
+> args: params
+
+* Use Difflib SequenceMatcher, maybe not work well :(
+
+    ```
+{
+    "status": true,
+    "content": {
+        "song_name": "DESTRUCTION 3,2,1",
+        "song_ratio": 0.7857142857142857,
+        "song_id": "DESTRUCTION321.Normal1zervsBrokenNerdz"
+    }
+}
+    
+    ```
+    * If cannot found:
+
+    ```
+{
+    "message": "None",
+    "status": false
+}
+    
+    ```
+
+
 ...
 
 

app.py

@@ -9,6 +9,7 @@
     levels,
     song_info_handler_main,
 )
+from fuzzy import *
 import random as rand
 
 
@@ -177,5 +178,26 @@ def get_song_info():
     return data
 
 
+@app.route("/api/phi/search", methods=["GET"])
+def get_song_id():
+    params = request.args.get("params")
+    if params is None:
+        return jsonify({"message": "No Params, please input params."})
+    try:
+        result_song, possibility, song_id = search_song(parmas=params)
+        result = {
+            "song_name": result_song,
+            "song_ratio": possibility,
+            "song_id": song_id,
+        }
+        data = {"status": True, "content": result}
+    except Exception as e:
+        return jsonify({"status": False, "message": str(e)})
+    data = json.dumps(data, ensure_ascii=False).encode("utf-8")
+    data = make_response(data)
+    data.headers["Content-Type"] = "application/json; charset=utf-8"
+    return data
+
+
 if __name__ == "__main__":
     app.run(debug=True)

fuzzy.py

@@ -0,0 +1,36 @@
+import difflib
+from pathlib import Path
+
+
+load_songname_list = []
+load_dict = {}
+
+load_data = Path().absolute() / "info.csv"
+
+
+with open(load_data, "r", encoding="utf-8") as f:
+    reader = f.readlines()
+    i = 0
+    for row in reader:
+        split_data = row.split("\\")
+        # Generate a dict
+        song_id = split_data[0]
+        song_name = split_data[1]
+        # load dict
+        load_dict.update({song_name: song_id})
+        load_songname_list.append(split_data[1])
+        i + 1
+
+
+def search_song(parmas: str):
+    best_match = None
+    best_ratio = 0
+    for i in range(len(load_songname_list)):
+        get_name = load_songname_list[i]
+        # use fuzzy
+        similarity_ratio = difflib.SequenceMatcher(None, parmas, get_name).ratio()
+        if similarity_ratio > best_ratio:
+            best_ratio = similarity_ratio
+            best_match = get_name
+    best_song_id = load_dict[best_match]
+    return best_match, best_ratio, best_song_id

method.py

@@ -10,6 +10,7 @@
 
 levels = ["EZ", "HD", "IN", "AT"]
 difficulty = OrderedDict()
+dict_fuzzy = {}
 info = {}
 info_by = {}
 info_illustrator = {}

requirements.txt

@@ -1,3 +1,2 @@
 Flask==2.3.2
-pycryptodome==3.18.0
-Requests==2.31.0
+Requests==2.31.0