Introduce Calculate Elo API for external use.

This should make it possible for external use to calculate the ELo based on Either (Ptnml or WDL) and elo0, elo1 bounds (elo_model is optional and defaults to "normalized").

The format is:
https://tests.stockfishchess.org/api/calc_elo?LL=93&LD=18711&DDWL=58877&WD=18739&WW=100&elo0=-1.75&elo1=0.25

needs testing.

Introduce Calculate Elo API for external use.

This should make it possible for external use to calculate the ELo based on Either (Ptnml or WDL) and elo0, elo1 bounds (elo_model is optional and defaults to "normalized").

The format is:
https://tests.stockfishchess.org/api/calc_elo?LL=93&LD=18711&DDWL=58877&WD=18739&WW=100&elo0=-1.75&elo1=0.25

needs testing.

Introduce Calculate Elo API for external use.

This should make it possible for external use to calculate the ELo based on Either (Ptnml or WDL) and elo0, elo1 bounds (elo_model is optional and defaults to "normalized").

The format is:
https://tests.stockfishchess.org/api/calc_elo?LL=93&LD=18711&DDWL=58877&WD=18739&WW=100&elo0=-1.75&elo1=0.25

needs testing.

server/fishtest/__init__.py

@@ -118,6 +118,7 @@ def group_finder(username, request):
     config.add_route("api_download_nn", "/api/nn/{id}")
     config.add_route("api_get_elo", "/api/get_elo/{id}")
     config.add_route("api_actions", "/api/actions")
+    config.add_route("api_calc_elo", "/api/calc_elo")
 
     config.scan()
     return config.make_wsgi_app()

server/fishtest/api.py

@@ -347,6 +347,82 @@ def get_elo(self):
         run["elo"] = a
         return run
 
+    @view_config(route_name="api_calc_elo")
+    def calc_elo(self):
+        self.__t0 = datetime.utcnow()
+        self.__api = "/api/calc_elo"
+
+        W = self.request.params.get("W")
+        D = self.request.params.get("D")
+        L = self.request.params.get("L")
+        LL = self.request.params.get("LL")
+        LD = self.request.params.get("LD")
+        DDWL = self.request.params.get("DDWL")
+        WD = self.request.params.get("WD")
+        WW = self.request.params.get("WW")
+        elo0 = self.request.params.get("elo0")
+        elo1 = self.request.params.get("elo1")
+        elo_model = self.request.params.get("elo_model", "normalized")
+
+        if elo_model not in ["BayesElo", "logistic", "normalized"]:
+            self.handle_error(
+                "Valid Elo models are: BayesElo, logistic, and normalized."
+            )
+
+        is_ptnml = all(
+            value is not None and value.replace(".", "").replace("-", "").isdigit()
+            for value in [LL, LD, DDWL, WD, WW, elo0, elo1]
+        )
+
+        is_ptnml = is_ptnml and all(int(value) >= 0 for value in [LL, LD, DDWL, WD, WW])
+
+        is_wdl = not is_ptnml and all(
+            value is not None and value.replace(".", "").replace("-", "").isdigit()
+            for value in [W, D, L, elo0, elo1]
+        )
+
+        is_wdl = is_wdl and all(int(value) >= 0 for value in [W, D, L])
+
+        if not is_ptnml and not is_wdl:
+            self.handle_error(
+                "Invalid or missing parameters. Please provide all values as valid numbers."
+            )
+
+        if is_ptnml:
+            LL = int(LL)
+            LD = int(LD)
+            DDWL = int(DDWL)
+            WD = int(WD)
+            WW = int(WW)
+            if (LL + LD + DDWL + WD + WW) * 2 > 2**32:
+                self.handle_error("Number of games exceeds the limit.")
+            if LL + LD + DDWL + WD + WW == 0:
+                self.handle_error("No games to calculate Elo.")
+            results = {
+                "pentanomial": [LL, LD, DDWL, WD, WW],
+            }
+        if is_wdl:
+            W = int(W)
+            D = int(D)
+            L = int(L)
+            if W + D + L > 2**32:
+                self.handle_error("Number of games exceeds the limit.")
+            if W + D + L == 0:
+                self.handle_error("No games to calculate Elo.")
+            results = {
+                "wins": W,
+                "draws": D,
+                "losses": L,
+            }
+        elo0 = float(elo0)
+        elo1 = float(elo1)
+        alpha = 0.05
+        beta = 0.05
+        a = SPRT_elo(
+            results, alpha=alpha, beta=beta, elo0=elo0, elo1=elo1, elo_model=elo_model
+        )
+        return a
+
     @view_config(route_name="api_request_task")
     def request_task(self):
         self.validate_request("/api/request_task")