befor y test

Config/config.json

@@ -1,10 +1,10 @@
 {
-    "Number_of_cycles": 10000,
+    "Number_of_cycles": 1,
     "Amplitude_mm": 1,
     "Time_in_beam_s": 5,
     "Time_out_of_beam_s": 10,
-    "Exposure_time": 0.0002,
-    "Img_Processing": 1,
-    "pixel_size_mu": 0.275,
+    "Exposure_time": 0.0001,
+    "Img_Processing": 0,
+    "pixel_size_mu": 1.1,
     "long_time_interval": 50
 }

Config/measurement.json

@@ -1,4 +1,4 @@
-{"std_test_mov": [-10, 10],
-"std_test_wait": [1, 5],
+{"std_test_mov": [-1, 1],
+"std_test_wait": [4, 4],
 "backlsh_meas_mov":  [10, -10, -10, 10],
 "backlash_meas_wait": [1]}

Scripts/Test_y.py

@@ -0,0 +1,66 @@
+from time import sleep
+from pathlib import Path
+import sys
+
+import pyads
+
+
+def check_path(path_str):
+    try:
+        path = Path(path_str)
+        if not path.exists():
+            raise FileNotFoundError(f"Path does not exist: {path_str}")
+        print(f"Path exists: {path_str}")
+    except FileNotFoundError as e:
+        print(f"Error: {e}")
+config_path = r"C:\Users\berti_r\Python_Projects\StagePerformaceDocu\Config\config.json"
+check_path(config_path)
+
+
+
+library_path = r"C:\Users\berti_r\Python_Projects\templates\motion_libs"
+check_path(library_path)
+sys.path.append(library_path)
+measurement_mov_path = r"C:\Users\berti_r\Python_Projects\StagePerformaceDocu\Config\measurement.json"
+check_path(measurement_mov_path)
+
+
+import motionFunctionsLib as mfl
+import time
+
+
+plc = mfl.plc('5.67.222.118.1.1', 852)
+
+plc.connect()
+axis1 = mfl.axis(plc, 1)
+axis4 = mfl.axis(plc, 4)
+
+print(axis4.getCoupledGear1())
+axis1.setAcceleration(10000.0)
+axis1.setDeceleration(10000.0)
+axis1.setVelocity(3)
+
+
+axis4.setAcceleration(10000.0)
+axis4.setDeceleration(10000.0)
+axis4.setVelocity(3)
+
+
+
+axis1.enableAxis()
+axis4.enableAxis()
+sleep(1)
+print("coupling: ",axis4.getCoupledGear1())
+for i in range(3):
+    axis4.moveRelative(0.5)
+    axis1.moveRelative(0.5)
+    sleep(5)
+    axis4.moveRelative(-0.5)
+    axis1.moveRelative(-0.5)
+    sleep(5)
+
+
+
+
+axis1.disableAxis()
+axis4.disableAxis()

Scripts/metrology_functions.py

@@ -52,7 +52,9 @@ if not os.path.exists(workdir):
 plc = mfl.plc('5.67.222.118.1.1', 852)
 #TODO!!!!!!!!!!!!!!!!!!!!!!!!!!!
 plc.connect()
-axis1 = mfl.axis(plc, 2)
+axis2 = mfl.axis(plc, 2)
+axis1 = mfl.axis(plc, 1)
+axis4 = mfl.axis(plc, 4)
 #insert try catch later
 def get_pixel_size():
     config = myu.load_object(config_path)
@@ -203,7 +205,7 @@ def aquire_avg(camera_a, nr=10):
     com_y = np.average(y_array)
     return com_x, com_y
 
-def run_repeatability_series(
+def run_repeatability_series_n(
         motor_pv_prefix=0, ntries=100,save_images=True, run_analysis=False):
 
     #improv
@@ -227,12 +229,12 @@ def run_repeatability_series(
 
     #enable axis clean up later
 
-    axis1.setAcceleration(10000.0)
-    axis1.setDeceleration(20000.0)
-    axis1.setVelocity(-3)
-    axis1.disableAxis()
+    axis2.setAcceleration(10000.0)
+    axis2.setDeceleration(20000.0)
+    axis2.setVelocity(-3)
+    axis2.disableAxis()
     sleep(1)
-    axis1.enableAxis()
+    axis2.enableAxis()
     sleep(1)
     #--------------------------------------load coordinates from file-----------------------
     x_coordinates_json = myu.load_object(measurement_mov_path)
@@ -246,7 +248,7 @@ def run_repeatability_series(
 #---------------------------------------------move------------------------------------------
         #add multithreading for simultanious movement of y and x axis
         for mov,wait in zip(x_coordinates, wait_x):
-            axis1.moveRelativeAndWait(mov)
+            axis2.moveRelativeAndWait(mov)
             sleep(wait)
         start_pos_rbv = 4 #????
         meas_pos_rbv = 5  #????
@@ -287,12 +289,12 @@ def run_repeatability_series(
         analyze_repeatability(savefile, pixel_size=pixel_size, units='um')
 #-----------------------------------------cleanup-----------------------------------------
 
-    axis1.disableAxis()
+    axis2.disableAxis()
     camera.stop()
     del camera
 
 
-def run_repeatability_series_motor_off(
+def run_repeatability_series(
         motor_pv_prefix=0, ntries=100, save_images=True, run_analysis=False):
     # improv
     ntries = init_nr_of_cycles()
@@ -315,13 +317,21 @@ def run_repeatability_series_motor_off(
 
     # enable axis clean up later
 
-    axis1.setAcceleration(10000.0)
-    axis1.setDeceleration(20000.0)
+    axis1.setAcceleration(50.0)
+    axis1.setDeceleration(50.0)
     axis1.setVelocity(3)
     axis1.disableAxis()
     sleep(1)
     axis1.enableAxis()
     sleep(1)
+
+    axis4.setAcceleration(50.0)
+    axis4.setDeceleration(50.0)
+    axis4.setVelocity(3)
+    axis4.disableAxis()
+    sleep(1)
+    axis4.enableAxis()
+    sleep(1)
     # --------------------------------------load coordinates from file-----------------------
     x_coordinates_json = myu.load_object(measurement_mov_path)
     x_coordinates = x_coordinates_json.get('std_test_mov')
@@ -332,14 +342,12 @@ def run_repeatability_series_motor_off(
     for i in range(ntries):
         # ---------------------------------------------move------------------------------------------
         # add multithreading for simultanious movement of y and x axis
-        axis1.enableAxis()
-        sleep(0.1)
         for mov, wait in zip(x_coordinates, wait_x):
-            axis1.moveRelativeAndWait(mov)
+            axis1.moveRelative(mov)
+            axis4.moveRelative(wait)
             sleep(wait)
         start_pos_rbv = 4  # ????
         meas_pos_rbv = 5  # ????
-        axis1.disableAxis()
         # ---------------------------------------------capture------------------------------------------
         x_array = []
         y_array = []
@@ -377,7 +385,97 @@ def run_repeatability_series_motor_off(
         analyze_repeatability(savefile, pixel_size=pixel_size, units='um')
     # -----------------------------------------cleanup-----------------------------------------
 
-    axis1.disableAxis()
+    axis2.disableAxis()
+    camera.stop()
+    del camera
+
+
+def run_repeatability_series_motor_off(
+        motor_pv_prefix=0, ntries=100, save_images=True, run_analysis=False):
+    # improv
+    ntries = init_nr_of_cycles()
+    print(f"started with {ntries} cycles")
+    if os.getenv("EPICS_CA_ADDR_LIST") is not None:
+        pass
+    else:
+        os.environ["EPICS_CA_ADDR_LIST"] = "129.129.181.64"
+
+    camera = ad.AD()
+    pixel_size = 1.1
+
+    savedir = os.path.join(workdir,
+                           f'{get_timestr()}_repeatibility_{motor_pv_prefix}')
+    safe_meas_settings(savedir)
+    savefile = os.path.join(savedir,
+                            f'repeatibility_{motor_pv_prefix}.dat')
+    os.makedirs(savedir)
+    camera.start()
+
+    # enable axis clean up later
+
+    axis2.setAcceleration(10000.0)
+    axis2.setDeceleration(20000.0)
+    axis2.setVelocity(3)
+    axis2.disableAxis()
+    sleep(1)
+    axis2.enableAxis()
+    sleep(1)
+    # --------------------------------------load coordinates from file-----------------------
+    x_coordinates_json = myu.load_object(measurement_mov_path)
+    x_coordinates = x_coordinates_json.get('std_test_mov')
+    wait_x_json = myu.load_object(measurement_mov_path)
+    wait_x = wait_x_json.get('std_test_wait')
+    print(wait_x)
+
+    for i in range(ntries):
+        # ---------------------------------------------move------------------------------------------
+        # add multithreading for simultanious movement of y and x axis
+        axis2.enableAxis()
+        sleep(0.1)
+        for mov, wait in zip(x_coordinates, wait_x):
+            axis2.moveRelativeAndWait(mov)
+            sleep(wait)
+        start_pos_rbv = 4  # ????
+        meas_pos_rbv = 5  # ????
+        axis2.disableAxis()
+        # ---------------------------------------------capture------------------------------------------
+        x_array = []
+        y_array = []
+        for nr_img in range(10):
+            sleep(0.1)
+            im = camera.get_image()
+            sleep(0.1)
+
+            if (1 == init_image_processing_yes_no()):
+
+                com_x_tmp, com_y_tmp = __process_img(im)
+            else:
+                com_x_tmp, com_y_tmp = image_center_of_mass(im, plot=False, verbose=False)
+            x_array.append(com_x_tmp)
+            y_array.append(com_y_tmp)
+        com_x = np.average(x_array)
+        com_y = np.average(y_array)
+
+        data_str = " {:6d} {:18f} {:18f} {:8.3f} {:8.3f} {:14.3f}\n".format(
+            i, start_pos_rbv, meas_pos_rbv, com_x, com_y, time.time())
+        print(data_str, end='')
+        # -------------------------------------------Save----------------------------------------------------
+        with open(savefile, 'a') as fh:
+            fh.write(data_str)
+
+        if save_images:
+            imobj = Image.fromarray(im)
+            imfile = os.path.join(savedir,
+                                  f'im_{i:05d}.tif')
+            imobj.save(imfile)
+
+    # --------------------------------------------analyse----------------------------------------------
+    if run_analysis:
+        print("")
+        analyze_repeatability(savefile, pixel_size=pixel_size, units='um')
+    # -----------------------------------------cleanup-----------------------------------------
+
+    axis2.disableAxis()
     camera.stop()
     del camera
 def analyze_repeatability(input_file, pixel_size, units='um'):

data/data20250724_alignment_tests/20250724_174721_repeatibility_0/repeatibility_0.dat

@@ -0,0 +1 @@
+      0           4.000000           5.000000   33.714    5.275 1753372063.025

data/data20250724_alignment_tests/20250724_193838_repeatibility_0/conf_20250724.json

@@ -0,0 +1 @@
+{"Number_of_cycles": 10000, "Amplitude_mm": 1, "Time_in_beam_s": 5, "Time_out_of_beam_s": 10, "Exposure_time": 0.0002, "Img_Processing": 1, "pixel_size_mu": 0.275, "long_time_interval": 50}

data/data20250724_alignment_tests/20250724_193838_repeatibility_0/repeatibility_0.dat

@@ -0,0 +1,11 @@
+      0           4.000000           5.000000   16.276   23.386 1753378737.477
+      1           4.000000           5.000000   16.257   23.344 1753378754.747
+      2           4.000000           5.000000   16.364   23.366 1753378772.020
+      3           4.000000           5.000000   16.314   23.425 1753378789.276
+      4           4.000000           5.000000   16.231   23.401 1753378806.521
+      5           4.000000           5.000000   16.173   23.338 1753378823.753
+      6           4.000000           5.000000   16.341   23.240 1753378841.013
+      7           4.000000           5.000000   16.310   23.298 1753378858.278
+      8           4.000000           5.000000   16.339   23.267 1753378875.588
+      9           4.000000           5.000000   16.279   23.209 1753378892.908
+     10           4.000000           5.000000   16.277   23.179 1753378910.184

data/data20250724_alignment_tests/20250724_194357_repeatibility_0/conf_20250724.json

@@ -0,0 +1 @@
+{"Number_of_cycles": 10000, "Amplitude_mm": 1, "Time_in_beam_s": 5, "Time_out_of_beam_s": 10, "Exposure_time": 0.0002, "Img_Processing": 1, "pixel_size_mu": 0.275, "long_time_interval": 50}

data/data20250724_alignment_tests/20250724_194357_repeatibility_0/repeatibility_0.dat

@@ -0,0 +1,31 @@
+      0           4.000000           5.000000   53.744   91.187 1753379057.990
+      1           4.000000           5.000000   53.216   90.931 1753379075.976
+      2           4.000000           5.000000   52.466   91.616 1753379093.925
+      3           4.000000           5.000000   52.540   91.504 1753379111.882
+      4           4.000000           5.000000   52.270   91.720 1753379129.853
+      5           4.000000           5.000000   52.668   91.514 1753379147.850
+      6           4.000000           5.000000   52.292   91.371 1753379165.798
+      7           4.000000           5.000000   52.442   91.443 1753379183.751
+      8           4.000000           5.000000   52.305   91.052 1753379201.699
+      9           4.000000           5.000000   52.421   91.131 1753379219.633
+     10           4.000000           5.000000   52.438   91.194 1753379237.624
+     11           4.000000           5.000000   52.958   91.528 1753379255.615
+     12           4.000000           5.000000   52.334   91.406 1753379273.619
+     13           4.000000           5.000000   51.922   91.582 1753379291.567
+     14           4.000000           5.000000   51.047   91.542 1753379309.553
+     15           4.000000           5.000000   51.498   91.297 1753379327.477
+     16           4.000000           5.000000   51.378   91.596 1753379345.474
+     17           4.000000           5.000000   51.564   91.465 1753379363.434
+     18           4.000000           5.000000   51.582   91.547 1753379381.452
+     19           4.000000           5.000000   51.473   91.716 1753379399.435
+     20           4.000000           5.000000   51.634   91.819 1753379417.469
+     21           4.000000           5.000000   51.580   92.015 1753379435.452
+     22           4.000000           5.000000   51.199   92.092 1753379454.391
+     23           4.000000           5.000000   51.562   92.187 1753379472.350
+     24           4.000000           5.000000   50.696   92.146 1753379490.339
+     25           4.000000           5.000000   50.913   92.160 1753379508.307
+     26           4.000000           5.000000   50.815   91.828 1753379526.347
+     27           4.000000           5.000000   51.044   91.885 1753379544.368
+     28           4.000000           5.000000   50.911   91.885 1753379562.394
+     29           4.000000           5.000000   50.696   91.586 1753379580.395
+     30           4.000000           5.000000   50.437   91.585 1753379598.447

data/data20250804_alignment_tests/20250804_125352_repeatibility_0/repeatibility_0.dat

@@ -0,0 +1,10 @@
+      0           4.000000           5.000000      nan      nan 1754304852.005
+      1           4.000000           5.000000      nan      nan 1754304872.446
+      2           4.000000           5.000000      nan      nan 1754304892.649
+      3           4.000000           5.000000      nan      nan 1754304913.547
+      4           4.000000           5.000000      nan      nan 1754304931.902
+      5           4.000000           5.000000      nan      nan 1754304949.753
+      6           4.000000           5.000000      nan      nan 1754304968.500
+      7           4.000000           5.000000      nan      nan 1754304987.722
+      8           4.000000           5.000000      nan      nan 1754305007.048
+      9           4.000000           5.000000      nan      nan 1754305026.594

data/data20250804_alignment_tests/20250804_125759_repeatibility_0/repeatibility_0.dat

@@ -0,0 +1,10 @@
+      0           4.000000           5.000000      nan      nan 1754305099.639
+      1           4.000000           5.000000      nan      nan 1754305117.895
+      2           4.000000           5.000000      nan      nan 1754305135.935
+      3           4.000000           5.000000      nan      nan 1754305154.658
+      4           4.000000           5.000000      nan      nan 1754305174.053
+      5           4.000000           5.000000      nan      nan 1754305192.787
+      6           4.000000           5.000000      nan      nan 1754305211.095
+      7           4.000000           5.000000      nan      nan 1754305229.860
+      8           4.000000           5.000000      nan      nan 1754305249.033
+      9           4.000000           5.000000      nan      nan 1754305268.243

data/data20250804_alignment_tests/20250804_155648_repeatibility_0/repeatibility_0.dat

@@ -0,0 +1,10 @@
+      0           4.000000           5.000000      nan      nan 1754315833.736
+      1           4.000000           5.000000      nan      nan 1754315852.777
+      2           4.000000           5.000000      nan      nan 1754315872.930
+      3           4.000000           5.000000      nan      nan 1754315892.349
+      4           4.000000           5.000000      nan      nan 1754315911.177
+      5           4.000000           5.000000      nan      nan 1754315929.431
+      6           4.000000           5.000000      nan      nan 1754315947.957
+      7           4.000000           5.000000      nan      nan 1754315966.471
+      8           4.000000           5.000000      nan      nan 1754315984.299
+      9           4.000000           5.000000      nan      nan 1754316002.358