More logging and documentation

README.md

@@ -55,25 +55,17 @@ Maloja should run on any x86 or ARM machine that runs Python.
 
 I can support you with issues best if you use **Alpine Linux**.
 
-Your CPU should have a single core passmark score of at the very least 1500. When virtualizing or containerizing, Maloja does not benefit from multiple assigned cores.
-
-500 MB RAM should give you a decent experience, but performance will benefit greatly from up to 2 GB.
+Your CPU should have a single core passmark score of at the very least 1500. 500 MB RAM should give you a decent experience, but performance will benefit greatly from up to 2 GB.
 
 ### PyPI
 
-You can download one of the included scripts in the `install` folder and run it with e.g.
-
-```console
-	sh install_alpine.sh
-```
-
-You can also simply call the install command
+You can install Maloja with
 
 ```console
 	pip install malojaserver
 ```
 
-directly - make sure you have all the system packages installed.
+To make sure all dependencies are installed, you can also use one of the included scripts in the `install` folder.
 
 ### From Source
 
@@ -102,7 +94,7 @@ Of note are these settings which should be passed as environmental variables to
   * Mount a [volume](https://docs.docker.com/engine/reference/builder/#volume) to the specified directory to access these files outside the container (and to make them persistent)
 * `MALOJA_FORCE_PASSWORD` -- Set an admin password for maloja
 
-You must publish a port on your host machine to bind to the container's web port (default 42010). Note that the Docker version uses IPv4 per default.
+You must publish a port on your host machine to bind to the container's web port (default 42010). The Docker version uses IPv4 per default.
 
 An example of a minimum run configuration to access maloja via `localhost:42010`:
 

maloja/database/dbcache.py

@@ -32,7 +32,7 @@ def maintenance():
 		trim_cache()
 
 def print_stats():
-	log(f"Cache Size: {len(cache)}, System RAM Utilization: {psutil.virtual_memory().percent}%, Cache Hits: {hits}/{hits+misses}")
+	log(f"Cache Size: {len(cache)+len(entitycache)}, System RAM Utilization: {psutil.virtual_memory().percent}%, Cache Hits: {hits}/{hits+misses}")
 	#print("Full rundown:")
 	#import sys
 	#for k in cache.keys():

maloja/database/jinjaview.py

@@ -5,6 +5,8 @@ from .dbcache import serialize
 
 from ..globalconf import malojaconfig
 
+from doreah.logging import log
+
 
 # this is a wrapper object that provides a DB connection so that one jinja page
 # (with all its included partials) can use it for all functions
@@ -14,11 +16,15 @@ from ..globalconf import malojaconfig
 class JinjaDBConnection:
 	def __init__(self):
 		self.cache = {}
+		self.hits = 0
+		self.misses = 0
 	def __enter__(self):
 		self.conn = engine.connect()
 		return self
 	def __exit__(self, exc_type, exc_value, exc_traceback):
 		self.conn.close()
+		log(f"Generated page with {self.hits}/{self.hits+self.misses} local Cache hits",module="debug_performance")
+		del self.cache
 	def __getattr__(self,name):
 		originalmethod = getattr(database,name)
 
@@ -29,8 +35,10 @@ class JinjaDBConnection:
 			if malojaconfig['USE_REQUEST_CACHE']:
 				cachekey = serialize((id(originalmethod),kwargs))
 				if cachekey in self.cache:
+					self.hits += 1
 					return self.cache[cachekey]
 				else:
+					self.misses += 1
 					result = originalmethod(**kwargs,dbconn=self.conn)
 					self.cache[cachekey] = result
 					return result

maloja/proccontrol/profiler.py

@@ -23,11 +23,13 @@ def profile(func):
 		profiler.enable()
 		result = func(*args,**kwargs)
 		profiler.disable()
+		
+		log(f"Executed {func.__name__} ({args}, {kwargs}) in {clock.stop():.2f}s",module="debug_performance")
 		try:
 			pstats.Stats(profiler).dump_stats(os.path.join(benchmarkfolder,f"{func.__name__}.stats"))
 		except:
 			pass
-		log(f"Executed {func.__name__} ({args}, {kwargs}) in {clock.stop():.5f}s",module="debug_performance")
+
 		return result
 
 	return newfunc