Merge pull request #390 from JiahaoLi2003/patch-1

Update ECL with ECE

ecl/ece.py

@@ -0,0 +1,146 @@
+
+import os
+import json
+import re
+import numpy as np
+import argparse
+point = 0.95
+eliminate_threshold = 0.95
+
+
+def retrieve_eliminate(directory_Path,directory_Memory,eliminated_directory):
+    experiences_use = []
+    content = []
+    content1 = []
+    experiences_total = []
+    usetime_total = []
+    exp_dict = {}
+    eliminated_exp = []
+
+    directories = [os.path.join(directory_Path, d) for d in os.listdir(directory_Path) if os.path.isdir(os.path.join(directory_Path, d))]
+    for subdir in directories:
+        directory = subdir
+        logdir = [filename for filename in os.listdir(directory) if filename.endswith(".log")]
+        logdir = os.path.join(directory, logdir[0])
+        content1 = open(logdir, "r", encoding='UTF-8').read()
+
+        pattern1 = re.compile(r'the source code MIDs is (.*?),', re.S)
+        experiences_sourceMIDs = re.findall(pattern1, content1)
+        pattern2 = re.compile(r'the target code MIDs is (.*?)\n',re.S)
+        experiences_targetMIDs = re.findall(pattern2, content1)
+        pattern3 = re.compile(r'And the (.*?) similarity is',re.S)
+        experiences_type = re.findall(pattern3,content1)
+        for i in range(0,len(experiences_sourceMIDs)):
+            sourceMID = experiences_sourceMIDs[i]
+            targetMID = experiences_targetMIDs[i]
+            type = experiences_type[i]
+            experiences_use.append((sourceMID,targetMID,type))
+
+    with open(directory_Memory) as file:
+        content1 = json.load(file)
+        new_content = []
+        for memorypiece in content1:
+            experiences = memorypiece.get("experiences")
+            if experiences != None:
+                experiences_total.extend(experiences)
+                for experience in experiences:
+                    experience["use_time"] = 0
+        for experience in experiences_use:
+            for experience_t in experiences_total:
+                if experience[0] == experience_t["sourceMID"] and experience[1] == experience_t["targetMID"]:
+                    experience_t["use_time"] += 1
+        for i,experience_t in enumerate(experiences_total):
+            usetime_total.append(experience_t["use_time"])
+            exp_dict[i] = experience_t["use_time"]
+        file.close()
+
+    usetime_sort = sorted(usetime_total)[::-1]
+    total = np.sum(usetime_sort)
+    for i in range(len(usetime_sort)):
+        if np.sum(usetime_sort[:i])/total >= point:
+            # print("α：",i)
+            alpha= i
+            break
+    index=0
+    for k in sorted(exp_dict,key=exp_dict.__getitem__,reverse=True):
+        if index <= alpha:
+            eliminated_exp.append(experiences_total[k])
+            index += 1
+        else:
+            break
+
+    for memorypiece in content1:
+        experiences = memorypiece.get("experiences")
+        retrieve_eliminated_experienceList = []
+        if experiences != None:
+            for experience in experiences:
+                if experience in eliminated_exp:
+                    retrieve_eliminated_experienceList.append(experience)
+
+        memorypiece["experiences"] = retrieve_eliminated_experienceList
+        new_content.append(memorypiece)
+
+    with open(eliminated_directory, 'w') as file:
+        json.dump(new_content, file)
+
+
+# Quality score gain Elimination
+def gain_eliminate(directory_NewMemory,eliminated_directory):
+    content2 = []
+    with open(directory_NewMemory) as file:
+        content2 = json.load(file)
+        new_content2 = []
+        for memorypiece in content2:
+            experiences = memorypiece.get("experiences")
+            gain_eliminated_experienceList = []
+
+            if experiences != None:
+                # print("origin:", len(experiences))
+                for experience in experiences:
+                    valueGain = experience.get("valueGain")
+                    # print(valueGain)
+                    if valueGain >= eliminate_threshold:
+                        gain_eliminated_experienceList.append(experience)
+                # print(len(experiences))
+                memorypiece["experiences"] = gain_eliminated_experienceList
+                new_content2.append(memorypiece)
+            else:
+                new_content2.append(memorypiece)
+        file.close()
+
+    with open(eliminated_directory, 'r') as file:
+        new_content = json.load(file)
+
+    new_content = new_content + new_content2
+
+    with open(eliminated_directory, 'w') as file:
+        json.dump(new_content, file)
+
+
+
+def recount_experience(eliminated_directory):
+    with open(eliminated_directory, 'r') as file:
+        content = json.load(file)
+
+    with open(eliminated_directory, 'w') as file:
+        i = 0
+        for memorypiece in content:
+            memorypiece["total"] = i
+            i += 1
+        json.dump(content, file)
+
+def main():
+    parser = argparse.ArgumentParser(description="Process memory with some directories.")
+    parser.add_argument("directory_Path", type = str, help="The directory of software")
+    parser.add_argument("directory_Memory", type=str, help="The directory of MemoryCards")
+    parser.add_argument("directory_NewMemory", type=str, help="The directory of NewMemoryCards")
+    parser.add_argument("eliminated_directory", type= str, help="The directory for output")
+
+
+    args = parser.parse_args()
+    retrieve_eliminate(args.directory_Path,args.directory_Memory,args.eliminated_directory)
+    gain_eliminate(args.directory_NewMemory,args.eliminated_directory)
+    recount_experience(args.eliminated_directory)
+
+if __name__ == "__main__":
+    main()